{"total":104,"rows":[{"id":"2509.20328","title":"Video models are zero-shot learners and reasoners","created":"2025-09-24","cited_by_count":220,"area":"lr"},{"id":"2312.00785","title":"Sequential Modeling Enables Scalable Learning for Large Vision Models","created":"2023-12-01","cited_by_count":212,"area":null},{"id":"2108.07009","title":"Pixel Difference Networks for Efficient Edge Detection","created":"2021-08-16","cited_by_count":168,"area":null},{"id":"2212.04825","title":"A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others","created":"2022-12-09","cited_by_count":85,"area":null},{"id":"2206.08009","title":"Balancing Discriminability and Transferability for Source-Free Domain Adaptation","created":"2022-06-16","cited_by_count":58,"area":null},{"id":"2204.06107","title":"Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity","created":"2022-04-12","cited_by_count":41,"area":null},{"id":"2112.02250","title":"Dense Extreme Inception Network for Edge Detection","created":"2021-12-04","cited_by_count":39,"area":null},{"id":"2203.08566","title":"EDTER: Edge Detection with Transformer","created":"2022-03-16","cited_by_count":36,"area":null},{"id":"2303.11162","title":"Picture that Sketch: Photorealistic Image Generation from Abstract Sketches","created":"2023-03-20","cited_by_count":34,"area":null},{"id":"2108.00616","title":"RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth","created":"2021-08-02","cited_by_count":33,"area":null},{"id":"2401.02032","title":"DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection","created":"2024-01-04","cited_by_count":33,"area":"diffusion"},{"id":"2303.02506","title":"Prismer: A Vision-Language Model with Multi-Task Experts","created":"2023-03-04","cited_by_count":28,"area":"mllm"},{"id":"2308.06468","title":"Tiny and Efficient Model for the Edge Detection Generalization","created":"2023-08-12","cited_by_count":28,"area":null},{"id":"2506.02528","title":"RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers","created":"2025-06-03","cited_by_count":26,"area":"diffusion"},{"id":"2207.14288","title":"Rewriting Geometric Rules of a GAN","created":"2022-07-28","cited_by_count":25,"area":null},{"id":"2408.08601","title":"Learning A Low-Level Vision Generalist via Visual Task Prompt","created":"2024-08-16","cited_by_count":18,"area":null},{"id":"2402.00422","title":"Lightweight Pixel Difference Networks for Efficient Visual Representation Learning","created":"2024-02-01","cited_by_count":17,"area":null},{"id":"2110.15606","title":"Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels","created":"2021-10-29","cited_by_count":16,"area":null},{"id":"2506.24074","title":"C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism","created":"2025-06-30","cited_by_count":15,"area":null},{"id":"2309.03899","title":"The Making and Breaking of Camouflage","created":"2023-09-07","cited_by_count":14,"area":null},{"id":"2103.01849","title":"HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline","created":"2021-03-02","cited_by_count":13,"area":null},{"id":"2405.19295","title":"3D Neural Edge Reconstruction","created":"2024-05-29","cited_by_count":12,"area":null},{"id":"2306.15172","title":"Delving into Crispness: Guided Label Refinement for Crisp Edge Detection","created":"2023-06-27","cited_by_count":11,"area":null},{"id":"2409.12886","title":"EdgeGaussians -- 3D Edge Mapping via Gaussian Splatting","created":"2024-09-19","cited_by_count":10,"area":null},{"id":"2506.21401","title":"Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction","created":"2025-06-26","cited_by_count":10,"area":null},{"id":"2204.03643","title":"Total Variation Optimization Layers for Computer Vision","created":"2022-04-07","cited_by_count":8,"area":null},{"id":"2305.03051","title":"Controllable Visual-Tactile Synthesis","created":"2023-05-04","cited_by_count":8,"area":null},{"id":"2503.14786","title":"SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splatting","created":"2025-03-18","cited_by_count":6,"area":null},{"id":"2504.10979","title":"Deep Learning in Concealed Dense Prediction","created":"2025-04-15","cited_by_count":6,"area":null},{"id":"2203.09387","title":"One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning","created":"2022-03-17","cited_by_count":5,"area":null},{"id":"2304.06009","title":"Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing","created":"2023-04-12","cited_by_count":5,"area":null},{"id":"2410.03080","title":"Generative Edge Detection with Stable Diffusion","created":"2024-10-04","cited_by_count":5,"area":"diffusion"},{"id":"2504.00691","title":"ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts","created":"2025-04-01","cited_by_count":5,"area":null},{"id":"2505.12580","title":"Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID","created":"2025-05-19","cited_by_count":5,"area":null},{"id":"2509.21760","title":"UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models","created":"2025-09-26","cited_by_count":5,"area":null},{"id":"2103.14417","title":"Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift","created":"2021-03-26","cited_by_count":4,"area":null},{"id":"2110.15188","title":"The magnitude vector of images","created":"2021-10-28","cited_by_count":4,"area":null},{"id":"2209.02834","title":"Unsupervised Scene Sketch to Photo Synthesis","created":"2022-09-06","cited_by_count":4,"area":null},{"id":"2304.06627","title":"CoSDA: Continual Source-Free Domain Adaptation","created":"2023-04-13","cited_by_count":4,"area":null},{"id":"2408.16445","title":"Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks","created":"2024-08-29","cited_by_count":4,"area":null},{"id":"2507.14801","title":"Exploring Scalable Unified Modeling for General Low-Level Vision","created":"2025-07-20","cited_by_count":4,"area":null},{"id":"2104.11159","title":"An End-to-End Computer Vision Methodology for Quantitative Metallography","created":"2021-04-22","cited_by_count":3,"area":null},{"id":"2202.13883","title":"EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation","created":"2022-02-28","cited_by_count":3,"area":null},{"id":"2208.02305","title":"Unsupervised Flow Refinement near Motion Boundaries","created":"2022-08-03","cited_by_count":3,"area":null},{"id":"2403.16494","title":"CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2501.00816","title":"MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention","created":"2025-01-01","cited_by_count":3,"area":null},{"id":"2501.02534","title":"Boosting Edge Detection with Pixel-wise Feature Selection: The Extractor-Selector Paradigm","created":"2025-01-05","cited_by_count":3,"area":null},{"id":"2102.06120","title":"Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning","created":"2021-02-11","cited_by_count":2,"area":null},{"id":"2105.10129","title":"A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation","created":"2021-05-21","cited_by_count":2,"area":null},{"id":"2111.11322","title":"Contour-guided Image Completion with Perceptual Grouping","created":"2021-11-22","cited_by_count":2,"area":null},{"id":"2201.05121","title":"STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization","created":"2022-01-13","cited_by_count":2,"area":null},{"id":"2207.00732","title":"SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system","created":"2022-07-02","cited_by_count":2,"area":null},{"id":"2209.13997","title":"A Review of Modern Approaches for Coronary Angiography Imaging Analysis","created":"2022-09-28","cited_by_count":2,"area":null},{"id":"2301.11310","title":"Learning Good Features to Transfer Across Tasks and Domains","created":"2023-01-26","cited_by_count":2,"area":null},{"id":"2303.06380","title":"Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination","created":"2023-03-11","cited_by_count":2,"area":null},{"id":"2401.02313","title":"SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection","created":"2024-01-04","cited_by_count":2,"area":null},{"id":"2407.19992","title":"A Comprehensive Study for Edge Detection: Ideal-Prior Guidance Learning, High-Precision Architecture, and Better Distinguishability Evaluation Benchmark","created":"2024-07-29","cited_by_count":2,"area":null},{"id":"2501.04846","title":"EDMB: Edge Detector with Mamba","created":"2025-01-08","cited_by_count":2,"area":"ssm"},{"id":"2501.13365","title":"Symmetrization Weighted Binary Cross-Entropy: Modeling Perceptual Asymmetry for Human-Consistent Neural Edge Detection","created":"2025-01-23","cited_by_count":2,"area":null},{"id":"2104.10984","title":"Neuro-inspired edge feature fusion using Choquet integrals","created":"2021-04-22","cited_by_count":1,"area":null},{"id":"2204.01318","title":"Flexible Portrait Image Editing with Fine-Grained Control","created":"2022-04-04","cited_by_count":1,"area":null},{"id":"2211.06649","title":"Line Drawing Guided Progressive Inpainting of Mural Damage","created":"2022-11-12","cited_by_count":1,"area":null},{"id":"2212.00935","title":"Dunhuang murals contour generation network based on convolution and self-attention fusion","created":"2022-12-02","cited_by_count":1,"area":null},{"id":"2310.07149","title":"Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2311.03124","title":"TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains","created":"2023-11-06","cited_by_count":1,"area":null},{"id":"2402.11645","title":"Image Denoising with Machine Learning: A Novel Approach to Improve Quantum Image Processing Quality and Reliability","created":"2024-02-18","cited_by_count":1,"area":null},{"id":"2407.03268","title":"For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives","created":"2024-07-03","cited_by_count":1,"area":null},{"id":"2409.01609","title":"EDCSSM: Edge Detection with Convolutional State Space Model","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2409.14976","title":"A new baseline for edge detection: Make Encoder-Decoder great again","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2501.18517","title":"Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration","created":"2025-01-30","cited_by_count":1,"area":null},{"id":"2504.15770","title":"Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2505.23173","title":"Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2506.12460","title":"Binarization-Aware Adjuster for Discrete Decision Learning with an Application to Edge Detection","created":"2025-06-14","cited_by_count":1,"area":null},{"id":"2510.16319","title":"Stroke2Sketch: Harnessing Stroke Attributes for Training-Free Sketch Generation","created":"2025-10-18","cited_by_count":1,"area":null},{"id":"2603.20782","title":"MEMO: Human-like Crisp Edge Detection Using Masked Edge Prediction","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2102.11530","title":"Domain-invariant NBV Planner for Active Cross-domain Self-localization","created":"2021-02-23","cited_by_count":0,"area":null},{"id":"2110.11064","title":"Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization","created":"2021-10-21","cited_by_count":0,"area":null},{"id":"2205.08955","title":"Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness","created":"2022-05-05","cited_by_count":0,"area":null},{"id":"2205.11880","title":"Hierarchical Vectorization for Portrait Images","created":"2022-05-24","cited_by_count":0,"area":null},{"id":"2206.05967","title":"GoToNet: Fast Monocular Scene Exposure and Exploration","created":"2022-06-13","cited_by_count":0,"area":null},{"id":"2211.09480","title":"ArcAid: Analysis of Archaeological Artifacts using Drawings","created":"2022-11-17","cited_by_count":0,"area":null},{"id":"2302.06883","title":"Text-Guided Scene Sketch-to-Photo Synthesis","created":"2023-02-14","cited_by_count":0,"area":"diffusion"},{"id":"2303.11483","title":"Automatic Measures for Evaluating Generative Design Methods for Architects","created":"2023-03-20","cited_by_count":0,"area":null},{"id":"2305.17820","title":"Analysis of ROC for Edge Detectors","created":"2023-05-28","cited_by_count":0,"area":null},{"id":"2307.04952","title":"Compact Twice Fusion Network for Edge Detection","created":"2023-07-11","cited_by_count":0,"area":null},{"id":"2308.03092","title":"ECT: Fine-grained Edge Detection with Learned Cause Tokens","created":"2023-08-06","cited_by_count":0,"area":null},{"id":"2403.03456","title":"DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network","created":"2024-03-06","cited_by_count":0,"area":null},{"id":"2403.11038","title":"Texture Edge detection by Patch consensus (TEP)","created":"2024-03-16","cited_by_count":0,"area":null},{"id":"2408.01159","title":"Robust Curve Detection in Volumetric Medical Imaging via Attraction Field","created":"2024-08-02","cited_by_count":0,"area":null},{"id":"2408.04258","title":"UHNet: An Ultra-Lightweight and High-Speed Edge Detection Network","created":"2024-08-08","cited_by_count":0,"area":null},{"id":"2501.15122","title":"Vision without Images: End-to-End Computer Vision from Single Compressive Measurements","created":"2025-01-25","cited_by_count":0,"area":null},{"id":"2501.18929","title":"Training-free Quantum-Inspired Image Edge Extraction Method","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2507.06569","title":"Edge-Boundary-Texture Loss: A Tri-Class Generalization of Weighted Binary Cross-Entropy for Enhanced Edge Detection","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2507.07994","title":"Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2510.14862","title":"Multi-modal video data-pipelines for machine learning with minimal human supervision","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2602.16238","title":"EasyControlEdge: A Foundation-Model Fine-Tuning for Edge Detection","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2602.17785","title":"Multi-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2603.05537","title":"Sketch It Out: Exploring Label-Free Structural Cues for Multimodal Gait Recognition","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2604.14805","title":"From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2605.28119","title":"ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":"100"}