{"total":90,"rows":[{"id":"2302.01872","title":"MOSE: A New Dataset for Video Object Segmentation in Complex Scenes","created":"2023-02-03","cited_by_count":234,"area":null},{"id":"2106.14855","title":"K-Net: Towards Unified Image Segmentation","created":"2021-06-28","cited_by_count":212,"area":null},{"id":"2105.01928","title":"Instances as Queries","created":"2021-05-05","cited_by_count":158,"area":null},{"id":"2111.13673","title":"Mask Transfiner for High-Quality Instance Segmentation","created":"2021-11-26","cited_by_count":64,"area":null},{"id":"2508.05630","title":"MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenes","created":"2025-08-07","cited_by_count":62,"area":null},{"id":"2504.07943","title":"HoloPart: Generative 3D Part Amodal Segmentation","created":"2025-04-10","cited_by_count":60,"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":"2106.11958","title":"Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation","created":"2021-06-22","cited_by_count":43,"area":null},{"id":"2109.11103","title":"Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling","created":"2021-09-23","cited_by_count":43,"area":null},{"id":"2202.11542","title":"Amodal Panoptic Segmentation","created":"2022-02-23","cited_by_count":38,"area":null},{"id":"2208.08190","title":"DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations","created":"2022-08-17","cited_by_count":37,"area":null},{"id":"2210.06323","title":"AISFormer: Amodal Instance Segmentation with Transformer","created":"2022-10-12","cited_by_count":35,"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":"2306.07713","title":"Robustness of SAM: Segment Anything Under Corruptions and Beyond","created":"2023-06-13","cited_by_count":31,"area":null},{"id":"2108.06765","title":"Occlusion-Aware Video Object Inpainting","created":"2021-08-15","cited_by_count":30,"area":null},{"id":"2308.16825","title":"Coarse-to-Fine Amodal Segmentation with Shape Prior","created":"2023-08-31","cited_by_count":29,"area":null},{"id":"2207.14012","title":"Video Mask Transfiner for High-Quality Video Instance Segmentation","created":"2022-07-28","cited_by_count":28,"area":null},{"id":"2205.10767","title":"Human Instance Matting via Mutual Guidance and Multi-Instance Refinement","created":"2022-05-22","cited_by_count":25,"area":null},{"id":"2309.07510","title":"Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions","created":"2023-09-14","cited_by_count":23,"area":null},{"id":"2107.11669","title":"Rank & Sort Loss for Object Detection and Instance Segmentation","created":"2021-07-24","cited_by_count":22,"area":null},{"id":"2108.09897","title":"A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation","created":"2021-08-23","cited_by_count":21,"area":null},{"id":"2205.14637","title":"Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation","created":"2022-05-29","cited_by_count":21,"area":null},{"id":"2210.10046","title":"A Tri-Layer Plugin to Improve Occluded Detection","created":"2022-10-18","cited_by_count":21,"area":null},{"id":"2203.09775","title":"ContrastMask: Contrastive Learning to Segment Every Thing","created":"2022-03-18","cited_by_count":20,"area":null},{"id":"2303.15904","title":"Mask-Free Video Instance Segmentation","created":"2023-03-28","cited_by_count":20,"area":null},{"id":"2207.02062","title":"Image Amodal Completion: A Survey","created":"2022-07-05","cited_by_count":18,"area":null},{"id":"2504.13072","title":"HiScene: Creating Hierarchical 3D Scenes with Isometric View Generation","created":"2025-04-17","cited_by_count":18,"area":null},{"id":"2210.00911","title":"Learning Equivariant Segmentation with Instance-Unique Querying","created":"2022-10-03","cited_by_count":17,"area":null},{"id":"2303.14373","title":"DoNet: Deep De-overlapping Network for Cytology Instance Segmentation","created":"2023-03-25","cited_by_count":17,"area":null},{"id":"2406.07706","title":"Object-level Scene Deocclusion","created":"2024-06-11","cited_by_count":17,"area":null},{"id":"2107.14209","title":"A Unified Efficient Pyramid Transformer for Semantic Segmentation","created":"2021-07-29","cited_by_count":14,"area":null},{"id":"2309.06547","title":"AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving","created":"2023-09-12","cited_by_count":14,"area":null},{"id":"2303.14395","title":"MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos","created":"2023-03-25","cited_by_count":13,"area":null},{"id":"2407.11464","title":"Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes","created":"2024-07-16","cited_by_count":13,"area":null},{"id":"2206.00527","title":"Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline","created":"2022-06-01","cited_by_count":12,"area":null},{"id":"2401.09109","title":"Trapped in texture bias? A large scale comparison of deep instance segmentation","created":"2024-01-17","cited_by_count":10,"area":null},{"id":"2110.14775","title":"BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation","created":"2021-10-27","cited_by_count":9,"area":null},{"id":"2309.13248","title":"Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation","created":"2023-09-23","cited_by_count":9,"area":null},{"id":"2109.01123","title":"Benchmarking the Robustness of Instance Segmentation Models","created":"2021-09-02","cited_by_count":8,"area":null},{"id":"2302.02693","title":"PatchDCT: Patch Refinement for High Quality Instance Segmentation","created":"2023-02-06","cited_by_count":8,"area":null},{"id":"2402.12677","title":"Object-level Geometric Structure Preserving for Natural Image Stitching","created":"2024-02-20","cited_by_count":8,"area":null},{"id":"2110.01519","title":"Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary","created":"2021-10-04","cited_by_count":7,"area":null},{"id":"2303.04884","title":"O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments","created":"2023-03-08","cited_by_count":7,"area":null},{"id":"2407.02182","title":"Occlusion-Aware Seamless Segmentation","created":"2024-07-02","cited_by_count":7,"area":null},{"id":"2503.06261","title":"Segment Anything, Even Occluded","created":"2025-03-08","cited_by_count":7,"area":null},{"id":"2111.07950","title":"Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge","created":"2021-11-15","cited_by_count":6,"area":null},{"id":"2403.11376","title":"ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation","created":"2024-03-18","cited_by_count":6,"area":null},{"id":"2208.04438","title":"Occlusion-Aware Instance Segmentation via BiLayer Network Architectures","created":"2022-08-08","cited_by_count":5,"area":null},{"id":"2412.02336","title":"Amodal Depth Anything: Amodal Depth Estimation in the Wild","created":"2024-12-03","cited_by_count":5,"area":null},{"id":"2105.11668","title":"BoundarySqueeze: Image Segmentation as Boundary Squeezing","created":"2021-05-25","cited_by_count":4,"area":null},{"id":"2108.05722","title":"MT-ORL: Multi-Task Occlusion Relationship Learning","created":"2021-08-12","cited_by_count":4,"area":null},{"id":"2109.03230","title":"Self-supervised Tumor Segmentation through Layer Decomposition","created":"2021-09-07","cited_by_count":4,"area":null},{"id":"2210.03686","title":"Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation","created":"2022-10-07","cited_by_count":4,"area":null},{"id":"2405.06574","title":"Deep video representation learning: a survey","created":"2024-05-10","cited_by_count":4,"area":null},{"id":"2405.16094","title":"PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2403.19022","title":"WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion","created":"2024-03-27","cited_by_count":3,"area":null},{"id":"2409.12760","title":"COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding","created":"2024-09-19","cited_by_count":3,"area":null},{"id":"2107.05093","title":"SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network","created":"2021-07-11","cited_by_count":2,"area":null},{"id":"2112.06454","title":"Split GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance","created":"2021-12-13","cited_by_count":2,"area":null},{"id":"2406.11472","title":"Learning from Exemplars for Interactive Image Segmentation","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2204.09900","title":"Unsupervised Video Interpolation by Learning Multilayered 2.5D Motion Fields","created":"2022-04-21","cited_by_count":1,"area":null},{"id":"2204.12841","title":"BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery","created":"2022-04-27","cited_by_count":1,"area":null},{"id":"2303.01309","title":"BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition","created":"2023-03-02","cited_by_count":1,"area":null},{"id":"2303.06596","title":"Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark","created":"2023-03-12","cited_by_count":1,"area":null},{"id":"2405.05791","title":"Sequential Amodal Segmentation via Cumulative Occlusion Learning","created":"2024-05-09","cited_by_count":1,"area":null},{"id":"2405.19949","title":"Hyper-Transformer for Amodal Completion","created":"2024-05-30","cited_by_count":1,"area":null},{"id":"2409.14095","title":"Foundation Models for Amodal Video Instance Segmentation in Automated Driving","created":"2024-09-21","cited_by_count":1,"area":null},{"id":"2504.14606","title":"MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation","created":"2025-04-20","cited_by_count":1,"area":null},{"id":"2507.00339","title":"Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video","created":"2025-07-01","cited_by_count":1,"area":null},{"id":"2508.08498","title":"CObL: Toward Zero-Shot Ordinal Layering without User Prompting","created":"2025-08-11","cited_by_count":1,"area":null},{"id":"2511.17454","title":"Illustrator's Depth: Monocular Layer Index Prediction for Image Decomposition","created":"2025-11-21","cited_by_count":1,"area":null},{"id":"2605.24533","title":"Learnable Shape Prototypes with Occlusion-Geometry-Guided Injection for Amodal Instance Segmentation","created":"2026-05-23","cited_by_count":1,"area":null},{"id":"2105.08147","title":"COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs","created":"2021-05-17","cited_by_count":0,"area":null},{"id":"2304.08826","title":"Perceive, Excavate and Purify: A Novel Object Mining Framework for Instance Segmentation","created":"2023-04-18","cited_by_count":0,"area":null},{"id":"2305.12506","title":"CNN-based Dendrite Core Detection from Microscopic Images of Directionally Solidified Ni-base Alloys","created":"2023-05-21","cited_by_count":0,"area":null},{"id":"2308.15323","title":"Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing","created":"2023-08-29","cited_by_count":0,"area":null},{"id":"2407.13341","title":"Hybrid Deep Learning-Based for Enhanced Occlusion Segmentation in PICU Patient Monitoring","created":"2024-07-18","cited_by_count":0,"area":null},{"id":"2408.01067","title":"Amodal Segmentation for Laparoscopic Surgery Video Instruments","created":"2024-08-02","cited_by_count":0,"area":null},{"id":"2408.16661","title":"Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency","created":"2024-08-29","cited_by_count":0,"area":null},{"id":"2411.17557","title":"A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2502.16419","title":"DeProPose: Deficiency-Proof 3D Human Pose Estimation via Adaptive Multi-View Fusion","created":"2025-02-23","cited_by_count":0,"area":null},{"id":"2506.11661","title":"Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2508.01661","title":"Single Point, Full Mask: Velocity-Guided Level Set Evolution for End-to-End Amodal Segmentation","created":"2025-08-03","cited_by_count":0,"area":null},{"id":"2510.06194","title":"Overlap-aware segmentation for topological reconstruction of obscured objects","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2512.11722","title":"Weak-to-Strong Generalization Enables Fully Automated De Novo Training of Multi-head Mask-RCNN Model for Segmenting Densely Overlapping Cell Nuclei in Multiplex Whole-slice Brain Images","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2604.11711","title":"Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2606.12371","title":"A Turbo-Inference Strategy for Object Detection and Instance Segmentation","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2607.18112","title":"Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2608.29253","title":"QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.12350","title":"EgoMaize: A First-Person Maize Instance Segmentation Benchmark under Severe Field Occlusion","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}