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cs.CV updates on arXiv.org

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models SemiFA: An Agentic Multi-Modal Framework for Autonomous Semiconductor Failure Analysis Report Generation Neural 3D Reconstruction of Planetary Surfaces from Descent-Phase Wide-Angle Imagery Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG) Towards Patient-Specific Deformable Registration in Laparoscopic Surgery GeoLink: A 3D-Aware Framework Towards Better Generalization in Cross-View Geo-Localization 3DRealHead: Few-Shot Detailed Head Avatar PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction Graph Propagated Projection Unlearning: A Unified Framework for Vision and Audio Discriminative Models Solving Physics Olympiad via Reinforcement Learning on Physics Simulators Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems On the Robustness of Watermarking for Autoregressive Image Generation CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding Space Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference Anthropogenic Regional Adaptation in Multimodal Vision-Language Model From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction A Compact and Efficient 1.251 Million Parameter Machine Learning CNN Model PD36-C for Plant Disease Detection: A Case Study The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding FlowCoMotion: Text-to-Motion Generation via Token-Latent Flow Modeling ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net Panoptic Pairwise Distortion Graph WebForge: Breaking the Realism-Reproducibility-Scalability Trilemma in Browser Agent Benchmark Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance Product Review Based on Optimized Facial Expression Detection Retinal Cyst Detection from Optical Coherence Tomography Images Lung Cancer Detection Using Deep Learning Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing Architecture-Agnostic Modality-Isolated Gated Fusion for Robust Multi-Modal Prostate MRI Segmentation Camyla: Scaling Autonomous Research in Medical Image Segmentation LoViF 2026 The First Challenge on Weather Removal in Videos A Lightweight Multi-Metric No-Reference Image Quality Assessment Framework for UAV Imaging COREY: Entropy-Guided Runtime Chunk Scheduling for Selective Scan Kernels GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing STORM: End-to-End Referring Multi-Object Tracking in Videos Data-Efficient Surgical Phase Segmentation in Small-Incision Cataract Surgery: A Controlled Study of Vision Foundation Models UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation Rethinking the Diffusion Model from a Langevin Perspective Toward Accountable AI-Generated Content on Social Platforms: Steganographic Attribution and Multimodal Harm Detection IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation FishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex Zero-shot World Models Are Developmentally 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Omnimodal Language Models FlowPalm: Optical Flow Driven Non-Rigid Deformation for Geometrically Diverse Palmprint Generation Cross-Cultural Value Awareness in Large Vision-Language Models I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstruction Efficient Personalization of Generative User Interfaces PAS: Estimating the target accuracy before domain adaptation Is There Knowledge Left to Extract? Evidence of Fragility in Medically Fine-Tuned Vision-Language Models F3G-Avatar : Face Focused Full-body Gaussian Avatar ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models ACCIDENT: A Benchmark Dataset for Vehicle Accident Detection from Traffic Surveillance Videos MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories PhysInOne: Visual Physics Learning and Reasoning in One Suite Through Their Eyes: Fixation-aligned Tuning for Personalized User Emulation Neural Distribution Prior for LiDAR Out-of-Distribution Detection Adding Another Dimension to Image-based Animal Detection Long-SCOPE: Fully Sparse Long-Range Cooperative 3D Perception CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval Detecting Diffusion-generated Images via Dynamic Assembly Forests Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation Tora3: Trajectory-Guided Audio-Video Generation with Physical Coherence Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection Domain-generalizable Face Anti-Spoofing with Patch-based Multi-tasking and Artifact Pattern Conversion Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift
Visual Servoing for Robotic On-Orbit Servicing: A Survey
Lina María Amaya-Mejía, Mohamed Ghita, Jan Dentler, Miguel Oliva · 2024-09-04 · via cs.CV updates on arXiv.org

On-orbit servicing (OOS) activities will power the next big step for sustainable exploration and commercialization of space. Developing robotic capabilities for autonomous OOS operations is a priority for the space industry. Visual Servoing (VS) enables robots to achieve the precise manoeuvres needed for critical OOS missions by utilizing visual information for motion control. This article presents an overview of existing VS approaches for autonomous OOS operations with space manipulator systems (SMS). We divide the approaches according to their contribution to the typical phases of a robotic OOS mission: a) Recognition, b) Approach, and c) Contact. We also present a discussion on the reviewed VS approaches, identifying current trends. Finally, we highlight the challenges and areas for future research on VS techniques for robotic OOS.

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