{"total":36,"rows":[{"id":"2311.17034","title":"Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence","created":"2023-11-28","cited_by_count":86,"area":null},{"id":"2404.08928","title":"DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector","created":"2024-04-13","cited_by_count":39,"area":null},{"id":"2201.08379","title":"Learning Pixel Trajectories with Multiscale Contrastive Random Walks","created":"2022-01-20","cited_by_count":36,"area":null},{"id":"2207.06825","title":"Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions","created":"2022-07-14","cited_by_count":31,"area":null},{"id":"2209.07147","title":"One-Shot Transfer of Affordance Regions? AffCorrs!","created":"2022-09-15","cited_by_count":31,"area":null},{"id":"2203.04279","title":"Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences","created":"2022-03-08","cited_by_count":30,"area":null},{"id":"2204.10144","title":"A case for using rotation invariant features in state of the art feature matchers","created":"2022-04-21","cited_by_count":27,"area":null},{"id":"2303.16201","title":"ASIC: Aligning Sparse in-the-wild Image Collections","created":"2023-03-28","cited_by_count":27,"area":null},{"id":"2210.07199","title":"Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild","created":"2022-10-13","cited_by_count":22,"area":null},{"id":"2110.15904","title":"Learning Co-segmentation by Segment Swapping for Retrieval and Discovery","created":"2021-10-29","cited_by_count":15,"area":null},{"id":"2310.10912","title":"Towards Training-free Open-world Segmentation via Image Prompt Foundation Models","created":"2023-10-17","cited_by_count":15,"area":null},{"id":"2506.05312","title":"Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels","created":"2025-06-05","cited_by_count":13,"area":null},{"id":"2407.18907","title":"SHIC: Shape-Image Correspondences with no Keypoint Supervision","created":"2024-07-26","cited_by_count":12,"area":null},{"id":"2212.02763","title":"Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint","created":"2022-12-06","cited_by_count":10,"area":null},{"id":"2301.10018","title":"GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning","created":"2023-01-23","cited_by_count":10,"area":null},{"id":"2403.12038","title":"Zero-Shot Image Feature Consensus with Deep Functional Maps","created":"2024-03-18","cited_by_count":10,"area":null},{"id":"2506.04619","title":"Deep Learning Reforms Image Matching: A Survey and Outlook","created":"2025-06-05","cited_by_count":7,"area":null},{"id":"2309.15110","title":"Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow","created":"2023-09-26","cited_by_count":6,"area":null},{"id":"2312.11422","title":"Warping the Residuals for Image Editing with StyleGAN","created":"2023-12-18","cited_by_count":6,"area":null},{"id":"2506.08220","title":"Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence","created":"2025-06-09","cited_by_count":6,"area":null},{"id":"2309.05438","title":"Towards Content-based Pixel Retrieval in Revisited Oxford and Paris","created":"2023-09-11","cited_by_count":5,"area":null},{"id":"2309.05499","title":"Zero-Shot Co-salient Object Detection Framework","created":"2023-09-11","cited_by_count":4,"area":null},{"id":"2409.01021","title":"CONDA: Condensed Deep Association Learning for Co-Salient Object Detection","created":"2024-09-02","cited_by_count":4,"area":null},{"id":"2503.14129","title":"SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models","created":"2025-03-18","cited_by_count":4,"area":null},{"id":"2505.18060","title":"Semantic Correspondence: Unified Benchmarking and a Strong Baseline","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2506.03148","title":"Self-Supervised Spatial Correspondence Across Modalities","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2509.21263","title":"Towards Geometry-Grounded Dense Semantic Matching with VGGT Priors","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2311.18540","title":"Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images","created":"2023-11-30","cited_by_count":2,"area":null},{"id":"2602.02388","title":"Personalized Image Generation via Human-in-the-loop Bayesian Optimization","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2210.01884","title":"Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene","created":"2022-10-04","cited_by_count":1,"area":null},{"id":"2405.16738","title":"CARL: A Framework for Equivariant Image Registration","created":"2024-05-27","cited_by_count":1,"area":null},{"id":"2406.12441","title":"Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2602.17636","title":"CORAL: Correspondence Alignment for Improved Virtual Try-On","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2406.11242","title":"Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2505.03470","title":"Blending 3D Geometry and Machine Learning for Multi-View Stereopsis","created":"2025-05-06","cited_by_count":0,"area":null},{"id":"2602.02154","title":"Deep learning enables urban change profiling through alignment of historical maps","created":"2026-02-02","cited_by_count":0,"area":null}],"next_cursor":null}