主题图谱 / computer vision and pattern recognition cs.cv

computer vision and pattern recognition cs.cv

GeneTech 知识引擎共收录 431 篇相关科研实体，横跨 21 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

相关主题

代表性文献（按质量分排序，前 60 条）

• Simultaneous Dual-View Mammogram Synthesis Using Denoising Diffusion Probabilistic Models
  2026 · AI 安全与对齐 · Breast cancer screening relies heavily on mammography, where the craniocaudal (CC) and mediolateral oblique (MLO) views provide complementary information for diagnosis. However, many datasets lack complete paired views, …
• TractoGraphVLM: A Unified Vision-Language Framework for White Matter Tractography
  2026 · 医疗人工智能 · Vision language models have transformed 2D medical imaging, yet extending them to 3D white matter tractography remains challenging due to the complex topology of fiber bundles. We introduce TractoGraphVLM, a unified fram…
• Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
  2026 · 医疗人工智能 · MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel developments in sparse phase retrieval have shown that magnitude-only measurements may provide complementar…
• FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
  2026 · 医疗人工智能 · The reliability of artificial intelligence (AI) in medical imaging critically depends on its robustness to heterogeneous and corrupted images acquired with diverse devices across different hospitals which is highly chall…
• Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging
  2026 · 医疗人工智能 · Segmentation of curvilinear anatomical structures in 3D medical images remains challenging due to complex topology, severe class imbalance, weak contrast, and large variations in structure morphology. While deep learning…
• Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals
  2026 · 脑科学 · Understanding how neural activity gives rise to perception is a central challenge in neuroscience. We address the problem of decoding visual information from high-density intracortical recordings in primates, using the T…
• A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
  2026 · 脑科学 · COVID-19 was a significant challenge that led to the loss of numerous lives daily. Not only a certain country was involved in this outbreak, but even the world has suffered because of the coronavirus. Imaging techniques …
• Thinker: A vision-language foundation model for embodied intelligence
  2026 · 具身智能 · When large vision-language models are applied to the field of robotics, they encounter problems that are simple for humans yet error-prone for models. Such issues include confusion between third-person and first-person p…
• O3N: Omnidirectional Open-Vocabulary Occupancy Prediction for Embodied Intelligent Robotics
  2026 · 具身智能 · The rapid evolution of consumer electronics toward embodied intelligence has accelerated the emergence of Consumer Embodied Intelligent Robotics (CEIRs), where intelligent devices are expected to perceive, understand, an…
• See Silhouettes in Motion with Neuromorphic Vision
  2026 · 具身智能 · Quasi-bimodal objects, such as text, road signs, and barcodes, play a basic yet vital role in daily visual communication. By boiling these down to clear silhouettes, binarization uses a minimal language to convey essenti…
• Towards Next-Generation Healthcare: A Survey of Medical Embodied AI for Perception, Decision-Making, and Action
  2026 · 具身智能 · Foundation models have demonstrated impressive performance in enhancing healthcare efficiency across a wide range of medical applications. Nevertheless, their limited ability to perceive, understand, and interact with th…
• Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
  2026 · 具身智能 · Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As these systems gain autonomy and enter do…
• Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms
  2026 · 具身智能 · Tactile sensing is a fundamental modality for embodied intelligence, offering unique and direct feedback on contact geometry, material properties, and interaction dynamics that remote sensors cannot replace. However, uni…
• MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation
  2026 · 具身智能 · Visual Language Navigation (VLN) is one of the fundamental capabilities for embodied intelligence and a critical challenge that urgently needs to be addressed. However, existing methods are still unsatisfactory in terms …
• Self-evolving Embodied AI
  2026 · 具身智能 · Embodied Artificial Intelligence (AI) is an intelligent system formed by agents and their environment through active perception, embodied cognition, and action interaction. Existing embodied AI remains confined to human-…
• From Perception to Action: Spatial AI Agents and World Models
  2026 · 具身智能 · While large language models have become the prevailing approach for agentic reasoning and planning, their success in symbolic domains does not readily translate to the physical world. Spatial intelligence, the ability to…
• PanoAffordanceNet: Towards Holistic Affordance Grounding in 360° Indoor Environments
  2026 · 具身智能 · Global perception is essential for embodied agents in 360° spaces, yet current affordance grounding remains largely object-centric and restricted to perspective views. To bridge this gap, we introduce a novel task: Holis…
• Token-Based Affordance Grounding with Large Vision-Language Models
  2026 · 具身智能 · Affordance grounding aims to localize image regions that support a specific action, serving as a core capability for physical intelligence and embodied perception. Previous studies have primarily relied on weakly supervi…
• E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes
  2026 · 具身智能 · Robotic Vision-Language-Action (VLA) models generalize well for open-ended manipulation, but their perception is fragile under sensing-stage degradations such as extreme low light, motion blur, and black clipping. We pre…
• Toward Low-Latency Vision-Language Models with Doubly-Correct Predictions in Egocentric Visual Understanding
  2026 · 具身智能 · The rapid rise of Vision-Language Models (VLMs) in egocentric visual understanding has made low-latency inference in human-robot collaborative (HRC) tasks increasingly critical. Weight pruning techniques developed for VL…
• PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
  2026 · 具身智能 · Unsupervised point cloud segmentation is critical for embodied artificial intelligence and autonomous driving, as it mitigates the prohibitive cost of dense point-level annotations required by fully supervised methods. W…
• 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding
  2026 · 具身智能 · Large multimodal models are increasingly used as the reasoning core of embodied agents operating in 3D environments, yet they remain prone to hallucinations that can produce unsafe and ungrounded decisions. Existing infe…
• ORCESTRA: VLM-driven Visual Robot programming in Mixed Reality
  2026 · 具身智能 · ORCESTRA is a mixed-reality system for programming robot digital twins through no-code waypoint teaching and language-guided control. In a passthrough mixed-reality workspace, users place robot twins on real surfaces, te…
• Towards Learning a Generalizable 3D Scene Representation from 2D Observations
  2026 · 具身智能 · We introduce a Generalizable Neural Radiance Field approach for predicting 3D workspace occupancy from egocentric robot observations. Unlike prior methods operating in camera-centric coordinates, our model constructs occ…
• VLANeXt: Recipes for Building Strong VLA Models
  2026 · 具身智能 · Following the rise of large foundation models, Vision-Language-Action models (VLAs) emerged, leveraging strong visual and language understanding from Vision-Language Models for general-purpose policy learning. Yet, the c…
• Pre-Decoding Acoustic Triage for Budgeted Vision-Language Captioning of Untrimmed Egocentric Video
  2026 · 具身智能 · Automatically analyzing hours-long egocentric video is increasingly essential for progress monitoring, quality control, and safety in logistics, construction, and manufacturing. Yet current pipelines that process short, …
• DTP: A Simple yet Effective Distracting Token Pruning Framework for Vision-Language Action Models
  2026 · 具身智能 · Vision-Language Action (VLA) models have shown remarkable progress in robotic manipulation by leveraging the powerful perception abilities of Vision-Language Models (VLMs) to understand environments and directly output a…
• WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
  2026 · 具身智能 · Recent vision-language navigation (VLN) systems increasingly adapt pretrained vision-language models (VLMs) into vision-language-action (VLA) policies that map egocentric observations and language instructions directly t…
• SafeBranch: Branch-Pair Safety Alignment for Embodied Agents
  2026 · 具身智能 · Vision-language-model-based embodied agents can complete instructed tasks but often violate safety constraints in the process, a problem recently framed as interactive safety. Training such agents to act safely is diffic…
• Fine-Tuning VLAs with Self-Demonstrated Generative Control for Multi-Task Manipulation
  2026 · 具身智能 · State-of-the-art vision-language-action (VLA) models such as $π_{0.5}$ exhibit strong semantic understanding, instruction following and task behavior. However, when deployed on new robots, even minor mismatches in hardwa…
• Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use
  2026 · 具身智能 · This paper integrates end-to-end Visual-Language-Action (VLA) models with agentic tool-use to propose Agentic Robot with Tool-use (ART). ART is a tool-injection framework that tunes any VLA model to leverage off-the-shel…
• WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA
  2026 · 具身智能 · Vision-Language-Action (VLA) models have emerged as a prominent paradigm for end-to-end autonomous driving; however, their efficient deployment is severely constrained by high computational latency and exposure bias aris…
• From Recovery to Drop-off: How Action Post-training Reduces a VLM's Late-Layer Depth Decodability
  2026 · 具身智能 · How much of a vision-language model's (VLM) spatial understanding remains after the action post-training process of building a vision-language-action model (VLA)? We probe depth perception, a primitive of spatiogeometric…
• Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data
  2026 · 具身智能 · Automatically retrieving videos from large camera-trap datasets remains challenging. Text-to-Video retrieval (TVR) methods based on large video-language models (VLMs) have potential to retrieve events of interest by desc…
• SPEAR: A Simulator for Photorealistic Embodied AI Research
  2026 · 具身智能 · Interactive simulators have become powerful tools for training embodied agents and generating synthetic visual data, but existing photorealistic simulators suffer from limited generality, programmability, and rendering s…
• Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection
  2026 · 低空经济 · Hyperspectral imaging (HSI) is useful for material discrimination, but operational mine screening also depends on how many false alarms must be inspected before targets are found. This paper studies PFM-1 landmine detect…
• Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
  2026 · 低空经济 · Continuous navigation in complex environments is critical for Unmanned Aerial Vehicle (UAV). However, the existing Vision-Language Navigation (VLN) models follow the dead-reckoning, which iteratively updates its position…
• Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors
  2026 · 低空经济 · Conventional visual simultaneous localization and mapping (SLAM) algorithms often fail under rapid motion, low illumination, or abrupt lighting transitions due to motion blur and limited dynamic range. Event cameras miti…
• SHIELD8-UAV: Sequential 8-bit Hardware Implementation of a Precision-Aware 1D-F-CNN for Low-Energy UAV Acoustic Detection and Temporal Tracking
  2026 · 低空经济 · Real-time unmanned aerial vehicle (UAV) acoustic detection at the edge demands low-latency inference under strict power and hardware limits. This paper presents SHIELD8-UAV, a sequential 8-bit hardware implementation of …
• Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones
  2026 · 低空经济 · Autonomous agents such as indoor drones must learn new object classes in real-time while limiting catastrophic forgetting, motivating Class-Incremental Learning (CIL). However, most unmanned aerial vehicle (UAV) datasets…
• End-to-End Radar and Communication Modulation Recognition with Neuromorphic Computing
  2026 · 类脑计算 · Although deep learning-based methods can achieve high accuracy in automatic modulation recognition (AMR) tasks, their high computational cost makes it difficult to strike a balance between accuracy and power consumption,…
• Stochastic Spiking Neuron Based SNN Can be Inherently Bayesian
  2026 · 类脑计算 · Uncertainty in biological neural systems appears to be computationally beneficial rather than detrimental. However, in neuromorphic computing systems, device variability often limits performance, including accuracy and e…
• A neuromorphic model of the insect visual system for natural image processing
  2026 · 类脑计算 · Insect vision supports complex behaviors including associative learning, navigation, and object detection, and has long motivated computational models for understanding biological visual processing. However, many contemp…
• Event-based Heterogeneous Information Processing for Online Vision-based Obstacle Detection and Localization
  2026 · 类脑计算 · This paper introduces a novel framework for robotic vision-based navigation that integrates Hybrid Neural Networks (HNNs) with Spiking Neural Network (SNN)-based filtering to enhance situational awareness for unmodeled o…
• Hybrid guided variational autoencoder for visual place recognition
  2026 · 类脑计算 · Autonomous agents such as cars, robots and drones need to precisely localize themselves in diverse environments, including in GPS-denied indoor environments. One approach for precise localization is visual place recognit…
• ORBITALIF: An Efficient Spiking Federated Learning Framework for Onboard Cloud Removal
  2026 · 隐私计算与数据要素 · Low-earth-orbit (LEO) satellites enable high-resolution, large-scale Earth observation for applications such as disaster monitoring and environmental surveillance. However, cloud coverage often obscures the Earth's surfa…
• An Inclusive and Lightweight Approach to Federated Continual Learning for Cultural Heritage
  2026 · 隐私计算与数据要素 · Artificial intelligence can support cultural heritage and digital humanities through large-scale retrieval and analysis of digitized collections. However, cultural heritage data are often distributed across institutions,…
• FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
  2026 · 隐私计算与数据要素 · Federated multimodal models often assume every site has every modality, although hospitals differ in access to EHRs, chest radiographs, and ECGs. We study this setting on a MIMIC-derived respiratory deterioration task wi…
• Color Matters: Trigger Color Affects Success in Federated Backdoor Attacks
  2026 · 隐私计算与数据要素 · Federated learning is vulnerable to backdoor attacks in which malicious clients inject poisoned updates while preserving benign-task performance. In this paper, we study a semantics-driven backdoor mechanism in which att…
• Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation
  2026 · 隐私计算与数据要素 · Multimodal federated learning enables privacy-preserving collaborative model training across healthcare institutions. However, a fundamental challenge arises from modality heterogeneity: many clinical sites possess only …
• FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments
  2026 · 隐私计算与数据要素 · Federated Learning (FL) enables collaborative training without centralizing data, essential for privacy compliance in real-world scenarios involving sensitive visual information. Most FL approaches rely on expensive, ite…
• Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
  2026 · 隐私计算与数据要素 · Collaborative training of a machine learning model comes with a risk of sharing sensitive or private data. Federated learning offers a way of collectively training a single global model without the need to share client d…
• NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception
  2026 · 机器人零部件 · Differentiable simulators have advanced policy learning and model-based control across robotic tasks. Yet actuator dynamics remain underexplored and can be a major source of sim-to-real error, particularly on low-cost pl…
• EquiDexFlow: Contact-Grounded SE(3)-Equivariant Dexterous Grasp Generative Flows
  2026 · 机器人零部件 · Most learned dexterous grasp generators relegate contact forces to a downstream verification step, so a kinematically-plausible pose can still violate the conditions for a stable physical grasp. We address this with Equi…
• OceanGym: A Benchmark Environment for Underwater Embodied Agents
  2025 · AI Agent 生态 · We introduce OceanGym, the first comprehensive benchmark for ocean underwater embodied agents, designed to advance AI in one of the most demanding real-world environments. Unlike terrestrial or aerial domains, underwater…
• Progressive Multimodal Interaction Network for Reliable Quantification of Fish Feeding Intensity in Aquaculture
  2025 · 智慧农业 · Accurate quantification of fish feeding intensity is crucial for precision feeding in aquaculture, as it directly affects feed utilization and farming efficiency. Although multimodal fusion has proven to be an effective …
• Resolution Revolution: A Physics-Guided Deep Learning Framework for Spatiotemporal Temperature Reconstruction
  2025 · 深海科技 · Central to Earth observation is the trade-off between spatial and temporal resolution. For temperature, this is especially critical because real-world applications require high spatiotemporal resolution data. Current tec…
• eStonefish-Scenes: A Sim-to-Real Validated and Robot-Centric Event-based Optical Flow Dataset for Underwater Vehicles
  2025 · 深海科技 · Event-based cameras (EBCs) are poised to transform underwater robotics, yet the absence of labelled event-based datasets for underwater environments severely limits progress in tasks such as visual odometry and obstacle …
• The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
  2025 · 深海科技 · Coral reefs are declining worldwide due to climate change and local stressors. To inform effective conservation or restoration, monitoring at the highest possible spatial and temporal resolution is necessary. Conventiona…
• PUGS: Perceptual Uncertainty for Grasp Selection in Underwater Environments
  2025 · 深海科技 · When navigating and interacting in challenging environments where sensory information is imperfect and incomplete, robots must make decisions that account for these shortcomings. We propose a novel method for quantifying…

以 API 获取该主题全量数据

# 主题词表（含本主题的站点分布与年度分布）
curl http://data.swarmlabs.tools/api/topics.json

# 主题共现知识图谱
curl http://data.swarmlabs.tools/api/graph.json

需要按主题批量拉取、导出 BibTeX 或接入 AI Agent？查看 数据下载与格式 或 MCP 接入。