{"total":160,"rows":[{"id":"2309.16588","title":"Vision Transformers Need Registers","created":"2023-09-28","cited_by_count":871,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2312.12359","title":"CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation","created":"2023-12-19","cited_by_count":96,"area":null},{"id":"2303.17811","title":"Zero-shot Referring Image Segmentation with Global-Local Context Features","created":"2023-03-31","cited_by_count":61,"area":null},{"id":"2310.06907","title":"Self-supervised Object-Centric Learning for Videos","created":"2023-10-10","cited_by_count":49,"area":null},{"id":"2312.00648","title":"SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers","created":"2023-12-01","cited_by_count":49,"area":null},{"id":"2411.19331","title":"Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation","created":"2024-11-28","cited_by_count":44,"area":null},{"id":"2309.14289","title":"CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free","created":"2023-09-25","cited_by_count":39,"area":null},{"id":"2411.09219","title":"Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation","created":"2024-11-14","cited_by_count":39,"area":null},{"id":"2408.04961","title":"In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation","created":"2024-08-09","cited_by_count":38,"area":null},{"id":"2308.14710","title":"VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation","created":"2023-08-28","cited_by_count":37,"area":null},{"id":"2308.11796","title":"Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations","created":"2023-08-22","cited_by_count":35,"area":null},{"id":"2312.17243","title":"Unsupervised Universal Image Segmentation","created":"2023-12-28","cited_by_count":35,"area":null},{"id":"2406.09196","title":"Adaptive Slot Attention: Object Discovery with Dynamic Slot Number","created":"2024-06-13","cited_by_count":34,"area":null},{"id":"2303.14541","title":"UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes","created":"2023-03-25","cited_by_count":31,"area":null},{"id":"2406.20081","title":"Segment Anything without Supervision","created":"2024-06-28","cited_by_count":28,"area":null},{"id":"2406.02842","title":"DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut","created":"2024-06-05","cited_by_count":26,"area":null},{"id":"2308.16271","title":"Emergence of Segmentation with Minimalistic White-Box Transformers","created":"2023-08-30","cited_by_count":24,"area":null},{"id":"2311.17286","title":"LEOD: Label-Efficient Object Detection for Event Cameras","created":"2023-11-29","cited_by_count":24,"area":null},{"id":"2305.08509","title":"Component-aware anomaly detection framework for adjustable and logical industrial visual inspection","created":"2023-05-15","cited_by_count":22,"area":null},{"id":"2405.15688","title":"UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes","created":"2024-05-24","cited_by_count":22,"area":null},{"id":"2502.10385","title":"Simplifying DINO via Coding Rate Regularization","created":"2025-02-14","cited_by_count":21,"area":null},{"id":"2502.06756","title":"SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement","created":"2025-02-10","cited_by_count":20,"area":null},{"id":"2309.10726","title":"Few-Shot Panoptic Segmentation With Foundation Models","created":"2023-09-19","cited_by_count":18,"area":null},{"id":"2310.12904","title":"Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey","created":"2023-10-19","cited_by_count":16,"area":null},{"id":"2403.07700","title":"CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers","created":"2024-03-12","cited_by_count":16,"area":null},{"id":"2408.13575","title":"Can Visual Foundation Models Achieve Long-term Point Tracking?","created":"2024-08-24","cited_by_count":14,"area":null},{"id":"2407.07412","title":"Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation","created":"2024-07-10","cited_by_count":13,"area":null},{"id":"2507.06230","title":"Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion","created":"2025-07-08","cited_by_count":13,"area":null},{"id":"2307.03376","title":"Weakly-supervised Contrastive Learning for Unsupervised Object Discovery","created":"2023-07-07","cited_by_count":12,"area":null},{"id":"2402.08960","title":"Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision","created":"2024-02-14","cited_by_count":12,"area":null},{"id":"2407.10084","title":"Part2Object: Hierarchical Unsupervised 3D Instance Segmentation","created":"2024-07-14","cited_by_count":12,"area":null},{"id":"2407.20214","title":"SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction","created":"2024-07-29","cited_by_count":12,"area":null},{"id":"2311.04640","title":"Object-Centric Learning with Slot Mixture Module","created":"2023-11-08","cited_by_count":11,"area":null},{"id":"2406.14924","title":"DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection","created":"2024-06-21","cited_by_count":11,"area":null},{"id":"2310.01994","title":"Understanding Masked Autoencoders From a Local Contrastive Perspective","created":"2023-10-03","cited_by_count":10,"area":null},{"id":"2311.17893","title":"Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation","created":"2023-11-29","cited_by_count":10,"area":null},{"id":"2312.17492","title":"HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping","created":"2023-12-29","cited_by_count":10,"area":null},{"id":"2402.03311","title":"HASSOD: Hierarchical Adaptive Self-Supervised Object Detection","created":"2024-02-05","cited_by_count":10,"area":null},{"id":"2404.11957","title":"The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models","created":"2024-04-18","cited_by_count":10,"area":null},{"id":"2409.18961","title":"ProMerge: Prompt and Merge for Unsupervised Instance Segmentation","created":"2024-09-27","cited_by_count":10,"area":null},{"id":"2504.01955","title":"Scene-Centric Unsupervised Panoptic Segmentation","created":"2025-04-02","cited_by_count":10,"area":null},{"id":"2312.06716","title":"Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations","created":"2023-12-11","cited_by_count":9,"area":null},{"id":"2312.07530","title":"Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance","created":"2023-12-12","cited_by_count":9,"area":null},{"id":"2404.16818","title":"Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals","created":"2024-04-25","cited_by_count":9,"area":null},{"id":"2405.20299","title":"Scaling White-Box Transformers for Vision","created":"2024-05-30","cited_by_count":9,"area":null},{"id":"2305.12457","title":"Unsupervised Multi-view Pedestrian Detection","created":"2023-05-21","cited_by_count":8,"area":null},{"id":"2308.11239","title":"LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training","created":"2023-08-22","cited_by_count":8,"area":null},{"id":"2305.19406","title":"PaintSeg: Training-free Segmentation via Painting","created":"2023-05-30","cited_by_count":7,"area":null},{"id":"2311.14665","title":"Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation","created":"2023-11-24","cited_by_count":7,"area":null},{"id":"2405.19035","title":"A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation","created":"2024-05-29","cited_by_count":7,"area":null},{"id":"2411.17474","title":"Probing the Mid-level Vision Capabilities of Self-Supervised Learning","created":"2024-11-25","cited_by_count":7,"area":null},{"id":"2508.03695","title":"Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition","created":"2025-08-05","cited_by_count":7,"area":null},{"id":"2305.06973","title":"FreePoint: Unsupervised Point Cloud Instance Segmentation","created":"2023-05-11","cited_by_count":6,"area":null},{"id":"2404.12386","title":"SOHES: Self-supervised Open-world Hierarchical Entity Segmentation","created":"2024-04-18","cited_by_count":6,"area":null},{"id":"2405.15916","title":"Recasting Generic Pretrained Vision Transformers As Object-Centric Scene Encoders For Manipulation Policies","created":"2024-05-24","cited_by_count":6,"area":null},{"id":"2411.16319","title":"CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation","created":"2024-11-25","cited_by_count":6,"area":null},{"id":"2504.16570","title":"CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones","created":"2025-04-23","cited_by_count":6,"area":null},{"id":"2404.07664","title":"Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes","created":"2024-04-11","cited_by_count":5,"area":null},{"id":"2406.06908","title":"UVIS: Unsupervised Video Instance Segmentation","created":"2024-06-11","cited_by_count":5,"area":null},{"id":"2406.18344","title":"AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2409.02567","title":"Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2510.18437","title":"Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection","created":"2025-10-21","cited_by_count":5,"area":null},{"id":"2304.14376","title":"Zero-shot Unsupervised Transfer Instance Segmentation","created":"2023-04-27","cited_by_count":4,"area":null},{"id":"2308.04528","title":"Unsupervised Camouflaged Object Segmentation as Domain Adaptation","created":"2023-08-08","cited_by_count":4,"area":null},{"id":"2312.04947","title":"Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images","created":"2023-12-08","cited_by_count":4,"area":null},{"id":"2506.01778","title":"unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2509.02545","title":"Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery","created":"2025-09-02","cited_by_count":4,"area":null},{"id":"2602.06333","title":"Taming SAM3 in the Wild: A Concept Bank for Open-Vocabulary Segmentation","created":"2026-02-06","cited_by_count":4,"area":null},{"id":"2307.04392","title":"FODVid: Flow-guided Object Discovery in Videos","created":"2023-07-10","cited_by_count":3,"area":null},{"id":"2309.03874","title":"Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks","created":"2023-09-07","cited_by_count":3,"area":null},{"id":"2310.13479","title":"Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation","created":"2023-10-20","cited_by_count":3,"area":null},{"id":"2402.15172","title":"Attention-Guided Masked Autoencoders For Learning Image Representations","created":"2024-02-23","cited_by_count":3,"area":null},{"id":"2403.16318","title":"AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans","created":"2024-03-24","cited_by_count":3,"area":null},{"id":"2407.06795","title":"CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching","created":"2024-07-09","cited_by_count":3,"area":null},{"id":"2408.14789","title":"Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View","created":"2024-08-27","cited_by_count":3,"area":null},{"id":"2410.16820","title":"AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2411.03695","title":"AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation","created":"2024-11-06","cited_by_count":3,"area":null},{"id":"2412.16990","title":"Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation","created":"2024-12-22","cited_by_count":3,"area":null},{"id":"2503.11439","title":"COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation","created":"2025-03-14","cited_by_count":3,"area":null},{"id":"2507.06972","title":"A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2312.03533","title":"Low-shot Object Learning with Mutual Exclusivity Bias","created":"2023-12-06","cited_by_count":2,"area":null},{"id":"2404.12717","title":"Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models","created":"2024-04-19","cited_by_count":2,"area":null},{"id":"2405.14841","title":"MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2405.15209","title":"Motion Segmentation for Neuromorphic Aerial Surveillance","created":"2024-05-24","cited_by_count":2,"area":null},{"id":"2406.06236","title":"UnSupDLA: Towards Unsupervised Document Layout Analysis","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2505.13174","title":"FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2505.15263","title":"gen2seg: Generative Models Enable Generalizable Instance Segmentation","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2507.16038","title":"Discovering and using Spelke segments","created":"2025-07-21","cited_by_count":2,"area":null},{"id":"2511.19953","title":"Supervise Less, See More: Training-free Nuclear Instance Segmentation with Prototype-Guided Prompting","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2602.09764","title":"Self-Supervised Learning as Discrete Communication","created":"2026-02-10","cited_by_count":2,"area":null},{"id":"2304.01430","title":"Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots","created":"2023-04-04","cited_by_count":1,"area":null},{"id":"2307.15710","title":"Generalized Open-World Semi-Supervised Object Detection","created":"2023-07-28","cited_by_count":1,"area":null},{"id":"2311.18628","title":"A Lightweight Clustering Framework for Unsupervised Semantic Segmentation","created":"2023-11-30","cited_by_count":1,"area":null},{"id":"2402.02474","title":"Deep Spectral Improvement for Unsupervised Image Instance Segmentation","created":"2024-02-04","cited_by_count":1,"area":null},{"id":"2402.13465","title":"Unsupervised learning based object detection using Contrastive Learning","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2407.03772","title":"CS3: Cascade SAM for Sperm Segmentation","created":"2024-07-04","cited_by_count":1,"area":null},{"id":"2408.02043","title":"Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation","created":"2024-08-04","cited_by_count":1,"area":null},{"id":"2409.07801","title":"SURGIVID: Annotation-Efficient Surgical Video Object Discovery","created":"2024-09-12","cited_by_count":1,"area":null},{"id":"2410.08092","title":"UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images","created":"2024-10-10","cited_by_count":1,"area":null}],"next_cursor":"100"}