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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 77
Polyp-VSSD: A Pre-trained Transformer with Local-Global Joint VSSD Decoding for Polyp Segmentation
Early detection of colorectal polyps is essential for preventing colorectal cancer, making accurate polyp segmentation a key component in computer-aided diagnosis systems.ReLEAP: Upcycling Vision Datasets through Cross-Task Unification and Semi-Supervised Annotation
Developing robust vision models requires large amounts of annotated data, especially for tasks involving fine-grained class distinctions under variable environmental conditions.Complementing DINO Features with Image Structure for Part Discovery
Self-supervised Vision Transformers (ViTs) like DINO encode rich semantics, enabling training-free segmentation of objects from the background and discovery of their parts via feature clustering.OlmoEarth v1.3: Embeddings
We make some OlmoEarth embeddings.GeoLEON-CLIP: Graph-Anchored Multimodal Contrastive Learning for Geographic Region Representation
Geographic regions are multimodal: satellite imagery captures visual morphology, text conveys human-interpretable semantics, and map structures describe urban context.Organizing Temporal Evidence in Hyperbolic Space for Video Moment Retrieval
Video moment retrieval aims to localize a query-relevant temporal segment in an untrimmed video.DeformStruct: Deformable Structure Modeling for Point-Supervised Temporal Action Localization
Point-supervised Temporal Action Localization (PTAL) aims to localize action instances using only a single annotated timestamp for each instance.ChoreoStudio: Planning What, When, and Who in Music-Driven Group Choreography
Music-driven group dance generation must decide not only how each dancer moves, but also what formation the group should form, when it should change, and who should execute each transition.4DMemory: Benchmarking Long-Horizon Spatiotemporal Memory with Harness-Augmented Agents
Humans efficiently process multimodal streams spanning hours to years, building persistent, fine-grained spatiotemporal memories that support reasoning about and predicting long-horizon events.Search-Based Testing of Modality Sensitivity in Vision Language Models
Vision-language models (VLMs) process images and text jointly, yet robustness evaluations often perturb these inputs separately or assess only predefined corruption levels.A Regularity Condition Under Which a CPAB Transformation is a Diffeomorphism
Continuous Piecewise-Affine Based (CPAB) transformations, introduced by Freifeld et al. (2015, 2017), are flows obtained by integrating continuous piecewise-affine (CPA) velocity fields.Past as State, Present as Attention: Persistent-State Blockwise Flow Matching for Long-Horizon Co-Speech Motion Generation
Co-speech motion generation remains challenging over long horizons due to the need for temporal coherence and consistent style.EigenGradCAM with AugSmooth: Enhancing Explainability and Precision in Multi-Stage Alzheimer's Disease Detection
Alzheimer's disease (AD) is a progressive neurological disorder associated with memory loss, cognitive decline, and behavioral disturbances.Sam-Correction: Fully Adaptive Label Noise Reduction for Medical Image Segmentation
The quality of the teacher label has a dramatic impact on the outcome of the machine learning process.UniWorld: A Unified World Model for Real-Time Visual World Simulation
Continuous visual world simulation requires coupling evolving scene geometry with temporally persistent appearance.PASTA: Prompt-Aware Annealed Diffusion Sampling
While Diffusion models produce high-quality images, real-world visual design requires intentionally preserving clean regions for headlines, logos, or UI elements.Interactive image diagnosis using test-time backpropagation from the auxiliary task
Multi-task deep learning has been developed to ensure explainability in computer-aided diagnosis (CAD) systems.An Error Budget for Shuffled Multimodal Windows in the 3rd WEAR Challenge: Stacking, Count Constraints and Seam Matching
The 3rd WEAR Dataset Challenge asks for an activity label for every one-second window of four unseen participants.TIE: Training-free CLIP Embedding Guidance for Compositional Text-to-Image Alignment
Text-to-image (T2I) diffusion models have advanced notably, but still fail to satisfy prompt conditions, resulting in attribute mismatches and missing objects.AlphaAnything: Extending Pretrained RGB Generators to RGBA
Existing RGBA generation methods commonly learn a transparency-specific representation through reconstruction, introducing an additional training stage and potentially altering the RGB decoding…