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Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 153
PathPilot: An Adaptive Question-Conditioned Multi-Magnification Navigation Agent for Whole-Slide Image Analysis
The diagnostic capability of WSI agents relies on effective slide navigation to identify diagnostically relevant regions and efficiently integrate evidence across the slide.VAttnPO: Visual Attention-Guided Policy Optimization
Multimodal reinforcement learning with verifiable rewards commonly assigns one sequence advantage to an entire response.FoveaTree: Information-Density Trees for Query-Guided Visual Token Pruning in Video Large Language Models
Video large language models (Video LLMs) encode each frame into hundreds of visual tokens, making video inference expensive.The Midas Touch for Metric Depth: Interpretable Metricization for Generalizable Depth Perception
Recent foundation models have drastically improved the generalization of monocular relative depth estimation, yet recovering accurate metric depth from their estimates for depth perception tasks…Image Tokenizers Should Be Trained Between Images
Latent diffusion models generate images as codes of an image tokenizer, whose decoder turns them into the pixel image.Towards Complementary Keypoint Detection via Mixture of Detectors
Keypoint detection plays a central role in geometric vision pipelines.InfoVis: Unified Slide Image Generation and Editing
Generating and editing presentation slides requires models to combine accurate text rendering, instruction following, visual grounding, aesthetic design, and precise editing within one canvas.ViewStruct: View-Grounded Articulation and Connectivity Inference
Interacting with unfamiliar objects requires understanding how their parts connect and move.X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning
Chest X-ray (CXR) interpretation often requires integrating visual findings with task-specific evidence rather than relying on direct visual recognition alone.Carve VFM: Carving Specialists out of Generalists, Automatic Task-Specific Compression of Vision Foundation Models
Vision foundation models (VFMs) provide transferable visual representations, but their inference cost limits deployment in many settings.Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers
Progressive depth growth builds large networks by starting with shallow models and inserting layers during training.Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors
Deepfake speech detectors are typically evaluated as binary classifiers on fixed benchmarks, but deployed systems face evolving attacks, codecs, speakers, and recording conditions, with labels…Beyond User-Side Defenses: Image Protection in Open-Weight Diffusion Models
Model providers can support image protection, but open-weight deployment introduces practical constraints.A Multi-Task Deep Learning Framework for Pose-Invariant Face Recognition and Facial Landmark Localization
Face recognition systems often experience performance degradation under large pose variations due to changes in facial appearance and visibility of discriminative features.Towards Cost-Efficient Video Dataset Construction with Large Language Models
Research on video classification models has witnessed significant growth recently, accompanied by a significant increase in the demand for datasets to train such models.Vision Models Capture Complementary Representations in Children That Converge in Adults
How the relationship between image-text aligned and vision-only models changes across development remains unknown.From Volpiano to Pixels: 30,000 Lines of OMR Ground Truth for Medieval Chant
Optical music recognition (OMR) for medieval chant lacks training data linking manuscript images to musical symbols across notational families.EviStress: Evidence Stress Learning for Generalizable Face Forgery Detection with Textual Explanations
The rapid spread of face forgeries on the Web challenges the credibility of visual content.Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers
Emotions are expressed on a continuum and are naturally described in the valence-arousal (VA) space.Mining Cross-Modal Perception Gaps in Autonomous Driving: When Camera and LiDAR Disagree
Multi-modal fusion for 3D object detection assumes that cameras and LiDAR are broadly complementary.