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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 121
PreciseEdit: Strong Yet Stable Semantic Transport for One-Step Image Editing
Recent one-step text-to-image (T2I) models enable efficient image synthesis, opening up new possibilities for interactive Web-based image editing.PanoBench: A Panoptic Occupancy Prediction Benchmark for Autonomous Driving
Panoptic occupancy unifies 3D geometry, semantics, and instance identities, but its development is limited by scarce instance-aware annotations.Execution Before Memory: Diagnosing Memory Failures in Video World Models
A memory test for a video world model should say whether the scene was set, whether the asked change was carried out, and whether the last frame shows the result.LiveSync: Iterative Self-Training for Lip-Sync Generation
Audio-driven lip synchronization aims to match target speech through localized mouth and jaw articulation while preserving subject identity, head pose, and surrounding facial context.From Adult Renal Masses to Pediatric Wilms Tumors: Evaluating Cross-Domain Generalization of Kidney Lesion Segmentation on MRI
Deep learning segmentation models for pediatric oncology are often trained on small, single-center cohorts, whereas much larger datasets exist for adult diseases, such as kidney cancer.CLEAR: Cooperative Latent Flow for Visual Counterfactual Explanations with Accurate Region Preservation
Visual counterfactual explanations (VCEs) should alter a classifier's prediction while remaining realistic and preserving decision-irrelevant content.Enhancing RAG-based Medical VQA with Gated Multimodal Representations
Medical Vision-Language Models (Med-LVLMs) have shown strong performance in Medical Visual Question Answering (MVQA), yet they may still produce factually inconsistent responses.SemPurify: Semantics-Aware Data Purification for Black-box Backdoor Defense
Backdoor attacks have emerged as a critical security threat in machine learning, where adversaries embed triggers within poisoned training samples to manipulate a model's predictions on targeted…Learning to Discriminate Scene Structures Makes Self-Supervised Depth Learning Scalable
Self-supervised monocular depth estimation is appealing for its potential to scale with unlabeled data, yet existing methods often degrade when trained on diverse scenes.ADA 2025: A Multimodal Dataset for Water-Deficit Stress Detection in Sugar Beets
Research and development into artificial intelligence (AI) and machine learning (ML) applications in crop management are hindered by a lack of suitable public datasets.Not Every Mention Is a Claim: Rethinking Object Hallucination Detection in Vision-Language Models
Object hallucination in vision-language models (VLMs) is usually measured by checking each object a caption names against the image.Stereo LWIR-RGB Automatic Labeling for Low-Light Camera-Based VRU Detection
VRU detection in low-light conditions is a key component in ensuring VRU safety during the most collision prone time of the day.Diversity Without Labels: Task-Agnostic Coreset Selection Across Perception and Action
While data collection for model training is relatively easy, curating high-quality datasets from large collections is inherently challenging.A Language-Informed Loss for Visual Generation
End-to-end visual generation with pixel-space loss has recently achieved competitive performance without the need for learned image tokenizers.FlexPart: Text-Controlled Semantics-Aware 3D Part Segmentation at Flexible Granularity
A 3D asset admits multiple valid part decompositions, while semantics-aware segmentation should reflect both the desired granularity and the parts a user wants to extract.An Efficient Approach to Beetle Damage Detection of Banana Using Deep Learning
Visible surface damage of banana fruits by Basilepta subcostata (the banana fruit scarring beetle) can reduce their market value.PCDFusion: Proposal-Context-Detail Bayesian Rendering for Infrared-Visible Image Fusion
Infrared-visible image fusion (IVIF) aims to combine visible and thermal infrared observations for human perception and downstream vision tasks.Agentic Physics-Grounded Video Generation via Memory-Augmented In-Context Reasoning
Physical plausibility is essential for realistic video generation.FedRAPP: Federated Test-Time Prompt Tuning for Vision-Language Models with Reliability-Aware Prompt Personalization
Federated prompt learning enables vision-language models like CLIP to collaboratively adapt lightweight soft prompts across distributed clients without sharing raw data.Synthetic Image Oversampling for Rare-Class Representation Learning in Deep Facial Phenotyping
Recent deep facial phenotyping methods can support the recognition of genetic syndromes, but patient images are often scarce and unevenly distributed across disorders.