{"total":75,"rows":[{"id":"2306.12156","title":"Fast Segment Anything","created":"2023-06-21","cited_by_count":290,"area":null},{"id":"2212.07784","title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","created":"2022-12-14","cited_by_count":195,"area":null},{"id":"2102.06191","title":"Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals","created":"2021-02-11","cited_by_count":190,"area":null},{"id":"2104.04691","title":"Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation","created":"2021-04-10","cited_by_count":133,"area":null},{"id":"2108.06753","title":"Learning Open-World Object Proposals without Learning to Classify","created":"2021-08-15","cited_by_count":109,"area":null},{"id":"2111.11430","title":"Class-agnostic Object Detection with Multi-modal Transformer","created":"2021-11-22","cited_by_count":85,"area":null},{"id":"2107.14228","title":"Open-World Entity Segmentation","created":"2021-07-29","cited_by_count":74,"area":null},{"id":"2104.11221","title":"Opening up Open-World Tracking","created":"2021-04-22","cited_by_count":50,"area":null},{"id":"2105.05312","title":"Incremental Few-Shot Instance Segmentation","created":"2021-05-11","cited_by_count":49,"area":null},{"id":"2312.17247","title":"Amodal Ground Truth and Completion in the Wild","created":"2023-12-28","cited_by_count":45,"area":null},{"id":"2112.09645","title":"Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation","created":"2021-12-17","cited_by_count":43,"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":"2112.01698","title":"Learning to Detect Every Thing in an Open World","created":"2021-12-03","cited_by_count":37,"area":null},{"id":"2203.08566","title":"EDTER: Edge Detection with Transformer","created":"2022-03-16","cited_by_count":36,"area":null},{"id":"2106.15947","title":"SOLO: A Simple Framework for Instance Segmentation","created":"2021-06-30","cited_by_count":32,"area":null},{"id":"2111.14562","title":"Instance-wise Occlusion and Depth Orders in Natural Scenes","created":"2021-11-29","cited_by_count":31,"area":null},{"id":"2301.01970","title":"CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection","created":"2023-01-05","cited_by_count":28,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2104.05367","title":"Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition","created":"2021-04-12","cited_by_count":23,"area":null},{"id":"2207.04614","title":"Instance Shadow Detection with A Single-Stage Detector","created":"2022-07-11","cited_by_count":22,"area":null},{"id":"2101.03409","title":"Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study","created":"2021-01-09","cited_by_count":21,"area":null},{"id":"2104.04782","title":"Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation","created":"2021-04-10","cited_by_count":21,"area":null},{"id":"2109.03351","title":"Capturing the objects of vision with neural networks","created":"2021-09-07","cited_by_count":21,"area":null},{"id":"2104.01526","title":"Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images","created":"2021-04-04","cited_by_count":20,"area":null},{"id":"2203.09775","title":"ContrastMask: Contrastive Learning to Segment Every Thing","created":"2022-03-18","cited_by_count":20,"area":null},{"id":"2210.00911","title":"Learning Equivariant Segmentation with Instance-Unique Querying","created":"2022-10-03","cited_by_count":17,"area":null},{"id":"2103.06796","title":"Unknown Object Segmentation from Stereo Images","created":"2021-03-11","cited_by_count":16,"area":null},{"id":"2105.03186","title":"A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation","created":"2021-05-07","cited_by_count":15,"area":null},{"id":"2106.15711","title":"RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks","created":"2021-06-29","cited_by_count":15,"area":null},{"id":"2503.20824","title":"Exploiting Temporal State Space Sharing for Video Semantic Segmentation","created":"2025-03-26","cited_by_count":15,"area":null},{"id":"2111.10137","title":"Learning to Detect Instance-level Salient Objects Using Complementary Image Labels","created":"2021-11-19","cited_by_count":14,"area":null},{"id":"2206.10711","title":"Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning","created":"2022-06-21","cited_by_count":14,"area":null},{"id":"2203.10939","title":"Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review","created":"2022-03-07","cited_by_count":13,"area":null},{"id":"2207.02088","title":"SiamMask: A Framework for Fast Online Object Tracking and Segmentation","created":"2022-07-05","cited_by_count":13,"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":"2105.06808","title":"Waste detection in Pomerania: non-profit project for detecting waste in environment","created":"2021-05-12","cited_by_count":8,"area":null},{"id":"2207.09314","title":"Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2303.05503","title":"Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision","created":"2023-03-09","cited_by_count":8,"area":null},{"id":"2203.12116","title":"GOSS: Towards Generalized Open-set Semantic Segmentation","created":"2022-03-23","cited_by_count":7,"area":null},{"id":"2103.00430","title":"Training Generative Adversarial Networks in One Stage","created":"2021-02-28","cited_by_count":6,"area":null},{"id":"2210.11318","title":"A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture","created":"2022-10-20","cited_by_count":6,"area":null},{"id":"2212.07671","title":"Multi-task Fusion for Efficient Panoptic-Part Segmentation","created":"2022-12-15","cited_by_count":6,"area":null},{"id":"2202.11372","title":"Localizing Small Apples in Complex Apple Orchard Environments","created":"2022-02-23","cited_by_count":5,"area":null},{"id":"2404.01990","title":"What is Point Supervision Worth in Video Instance Segmentation?","created":"2024-04-01","cited_by_count":5,"area":null},{"id":"2101.04574","title":"Superpixel-based Refinement for Object Proposal Generation","created":"2021-01-12","cited_by_count":4,"area":null},{"id":"2212.11922","title":"SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments","created":"2022-12-22","cited_by_count":4,"area":null},{"id":"2101.03603","title":"Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders","created":"2021-01-10","cited_by_count":3,"area":null},{"id":"2107.07464","title":"Amodal segmentation just like doing a jigsaw","created":"2021-07-15","cited_by_count":3,"area":null},{"id":"2108.03503","title":"DeepFH Segmentations for Superpixel-based Object Proposal Refinement","created":"2021-08-07","cited_by_count":3,"area":null},{"id":"2405.18299","title":"Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2409.14627","title":"SOS: Segment Object System for Open-World Instance Segmentation With Object Priors","created":"2024-09-22","cited_by_count":3,"area":null},{"id":"2206.07762","title":"Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis","created":"2022-06-15","cited_by_count":2,"area":null},{"id":"2208.11050","title":"Tunable Hybrid Proposal Networks for the Open World","created":"2022-08-23","cited_by_count":2,"area":null},{"id":"2311.18618","title":"JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation","created":"2023-11-30","cited_by_count":2,"area":null},{"id":"2406.14581","title":"3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data","created":"2024-06-19","cited_by_count":2,"area":null},{"id":"2408.12747","title":"CatFree3D: Category-agnostic 3D Object Detection with Diffusion","created":"2024-08-22","cited_by_count":2,"area":null},{"id":"2412.12740","title":"Open-World Panoptic Segmentation","created":"2024-12-17","cited_by_count":2,"area":null},{"id":"2103.05430","title":"Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning","created":"2021-02-23","cited_by_count":1,"area":null},{"id":"2108.13865","title":"InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images","created":"2021-08-31","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":"2310.07573","title":"Relational Prior Knowledge Graphs for Detection and Instance Segmentation","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2404.11429","title":"CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect","created":"2024-04-17","cited_by_count":1,"area":null},{"id":"2406.01356","title":"MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2504.17626","title":"Improving Open-World Object Localization by Discovering Background","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2102.04750","title":"Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots","created":"2021-02-09","cited_by_count":0,"area":null},{"id":"2102.06870","title":"Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization","created":"2021-02-13","cited_by_count":0,"area":null},{"id":"2104.13648","title":"Two stages for visual object tracking","created":"2021-04-28","cited_by_count":0,"area":null},{"id":"2203.11358","title":"Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask","created":"2022-03-21","cited_by_count":0,"area":null},{"id":"2212.11804","title":"Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference","created":"2022-12-22","cited_by_count":0,"area":null},{"id":"2309.00848","title":"Bengali Document Layout Analysis -- A YOLOV8 Based Ensembling Approach","created":"2023-09-02","cited_by_count":0,"area":null},{"id":"2310.17681","title":"Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning","created":"2023-10-26","cited_by_count":0,"area":null},{"id":"2402.08882","title":"Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation","created":"2024-02-14","cited_by_count":0,"area":null},{"id":"2410.20966","title":"Improving Detection of Person Class Using Dense Pooling","created":"2024-10-28","cited_by_count":0,"area":null},{"id":"2411.19134","title":"Visual SLAMMOT Considering Multiple Motion Models","created":"2024-11-28","cited_by_count":0,"area":null},{"id":"2604.26404","title":"Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}