AI & Machine Learning · Computer Science & AI
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 15
Understanding Backdoor Attacks in Scene Graph Generation via Global Context Pathway
Scene Graph Generation (SGG) produces structured scene representations, yet its training-time backdoor risk remains unexplored.StepX-OPD: Rethinking Multi-Teacher On-Policy Distillation in Diffusion Models
A deployable text-to-image diffusion model must hold several capabilities at once, such as instruction following, text rendering and human preference, and must sample in a few steps.Spin Spherical Fourier Neural Operators: Efficient Equivariant Learning for Vector and Spin Fields on the Sphere
Many fields of physical interest on the sphere, such as wind, the polarisation of the cosmic microwave background and the shear of weak gravitational lensing, are spin fields, whose values change…Auditing Targetless Camera-LiDAR Extrinsic Correction before Recursive Use
Camera-LiDAR fusion repeatedly uses an extrinsic transform in projection, association, and recursive state estimation.DR-LiteNet: A Lightweight Explainable Hybrid CNN Framework for Imbalanced Diabetic Retinopathy Grading via Adaptive SMOTE Fusion
Automated diabetic retinopathy (DR) grading from colour fundus photographs is held back by two compounding challenges: severe class imbalance across five severity grades and the heavy computational…LCM-UNet: Scale-Selective Mamba with Reparameterizable Multi-Basis Local Modeling for Lightweight Skin Lesion Segmentation
Accurate lesion segmentation underpins automated dermoscopic analysis: masks enable measurements of asymmetry, border and size.SphereFlow: Missing Modality Imputation via Geometric Transport on Hypersphere
Missing modality imputation aims to synthesize unobserved modalities from observed ones.Efficient and Faithful High-Resolution Image Editing with Sparse Cross-Resolution Denoising
Instruction-based image editors still primarily operate at 1K, whereas practical editing increasingly requires faithful 2K/4K outputs.VidUEU-Agent: A Data-Curation Agent for Multimodal Understanding, Editing, and Unified Tasks
The advancement of multimodal learning is heavily constrained by the scarcity and high annotation cost of high-quality instruction data.GVT3D: Gesture-Vision-Text Token Enrichment for 3D Embodied Reference Understanding
Natural human-robot interaction requires robots to interpret language and gestures within a 3D environment to support tasks such as pick-and-place and object retrieval.SWAP-INR: Implicit Neural Representation with Switchable Attention Paths for Time-varying Multivariate Scientific Data Compression
Visualizing multivariate scientific simulation data is essential for understanding complex physical phenomena, yet the massive scale of such data imposes a severe storage bottleneck in…A Systematic Point Cloud Edge Detection Framework for Automatic Aircraft Skin Milling
The edge detection technique is an essential step for aircraft skin milling in aviation manufacturing.Entropy-Gated Dynamic Rectification for Object Hallucination in Large Vision-Language Models
Large Vision-Language Models (LVLMs) routinely name objects that are absent from the image.Hybrid Quantum--Classical Pauli-Correlator Architecture for Image Reconstruction
We introduce the Pauli-Correlator Autoencoder (PCAE), a hybrid quantum--classical architecture for image reconstruction.DynOSeg: Dynamic Object Segmentation via Motion-Geometry Fusion
Moving Object Segmentation (MOS) detects and separates dynamic objects from the static background in a video, which plays a fundamental role in dynamic-scene understanding.Is Forgetting Unified? Exploring Concept Unlearning in Unified Multimodal Models
Unified multimodal models (UMMs) integrate image generation and visual understanding, but are existing single-pathway unlearning methods sufficient to suppress target concepts across both?Using GeoAI and machine learning tools for consistent high-resolution land cover mapping based on time-series NAIP imagery
High-resolution land-cover maps support ecological monitoring, but consistent historical time series remain scarce because aerial imagery varies across years and sensors.Beyond Token Representations: Explicit Visual Object Grounding for Video Reasoning Segmentation
Video Reasoning Segmentation (VRS) aims to infer and segment target objects specified by reasoning queries in videos.KeyWise: Efficient Video-Only Piano Transcription with a Lightweight Per-Key Architecture
Audio-based piano transcription is hampered by the sustain pedal and by noisy or missing soundtracks, problems that video-only transcription avoids, since a top-view video shows directly when each…Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
Vision-language models such as CLIP enable zero-shot classification from arbitrary class names, but under test-time corruptions, their visual encoder projects distorted features onto incorrect…