{"total":44,"rows":[{"id":"2404.14618","title":"Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing","created":"2024-04-22","cited_by_count":372,"area":null},{"id":"2107.01153","title":"A Survey on Deep Learning Technique for Video Segmentation","created":"2021-07-02","cited_by_count":132,"area":null},{"id":"2102.04604","title":"SwiftNet: Real-time Video Object Segmentation","created":"2021-02-09","cited_by_count":67,"area":null},{"id":"2311.15851","title":"Single-Model and Any-Modality for Video Object Tracking","created":"2023-11-27","cited_by_count":65,"area":null},{"id":"2312.11782","title":"Learning Object State Changes in Videos: An Open-World Perspective","created":"2023-12-19","cited_by_count":36,"area":null},{"id":"2207.02201","title":"Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation","created":"2022-07-05","cited_by_count":29,"area":null},{"id":"2403.17823","title":"Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders","created":"2024-03-26","cited_by_count":17,"area":null},{"id":"2211.08352","title":"Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview","created":"2022-11-13","cited_by_count":16,"area":null},{"id":"2110.12385","title":"Perceptual Consistency in Video Segmentation","created":"2021-10-24","cited_by_count":12,"area":null},{"id":"2110.13713","title":"YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs","created":"2021-10-26","cited_by_count":12,"area":null},{"id":"2211.10412","title":"Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey","created":"2022-11-17","cited_by_count":12,"area":null},{"id":"2508.00518","title":"Fine-grained Spatiotemporal Grounding on Egocentric Videos","created":"2025-08-01","cited_by_count":11,"area":null},{"id":"2511.16077","title":"VideoSeg-R1:Reasoning Video Object Segmentation via Reinforcement Learning","created":"2025-11-20","cited_by_count":6,"area":null},{"id":"2201.13066","title":"Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics","created":"2022-01-31","cited_by_count":5,"area":null},{"id":"2503.05962","title":"OSCAR: Object Status and Contextual Awareness for Recipes to Support Non-Visual Cooking","created":"2025-03-07","cited_by_count":5,"area":null},{"id":"2505.01854","title":"Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2","created":"2025-05-03","cited_by_count":5,"area":null},{"id":"2103.03821","title":"Fast Interactive Video Object Segmentation with Graph Neural Networks","created":"2021-03-05","cited_by_count":4,"area":null},{"id":"2103.11017","title":"TDIOT: Target-driven Inference for Deep Video Object Tracking","created":"2021-03-19","cited_by_count":4,"area":null},{"id":"2202.13050","title":"Optical flow-based branch segmentation for complex orchard environments","created":"2022-02-26","cited_by_count":4,"area":null},{"id":"2304.04259","title":"CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning","created":"2023-04-09","cited_by_count":3,"area":null},{"id":"2310.12393","title":"Deep Learning Techniques for Video Instance Segmentation: A Survey","created":"2023-10-19","cited_by_count":3,"area":null},{"id":"2310.00783","title":"Propagating Semantic Labels in Video Data","created":"2023-10-01","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":"2507.14613","title":"Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2","created":"2025-07-19","cited_by_count":2,"area":null},{"id":"2512.06032","title":"The SAM2-to-SAM3 Gap in the Segment Anything Model Family: Why Prompt-Based Expertise Fails in Concept-Driven Image Segmentation","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2307.08263","title":"Hierarchical Spatiotemporal Transformers for Video Object Segmentation","created":"2023-07-17","cited_by_count":1,"area":null},{"id":"2310.05290","title":"MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles","created":"2023-10-08","cited_by_count":1,"area":null},{"id":"2401.12480","title":"IDPro: Flexible Interactive Video Object Segmentation by ID-queried Concurrent Propagation","created":"2024-01-23","cited_by_count":1,"area":null},{"id":"2402.01126","title":"Seeing Objects in a Cluttered World: Computational Objectness from Motion in Video","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2406.00447","title":"DroneVis: Versatile Computer Vision Library for Drones","created":"2024-06-01","cited_by_count":1,"area":null},{"id":"2504.16471","title":"RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2507.08375","title":"Unsupervised Methods for Video Quality Improvement: A Survey of Restoration and Enhancement Techniques","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2508.05829","title":"TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2510.15448","title":"MAVR-Net: Robust Multi-View Learning for MAV Action Recognition with Cross-View Attention","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2103.13428","title":"TagMe: GPS-Assisted Automatic Object Annotation in Videos","created":"2021-03-24","cited_by_count":0,"area":null},{"id":"2105.12661","title":"Detecting Biological Locomotion in Video: A Computational Approach","created":"2021-05-26","cited_by_count":0,"area":null},{"id":"2312.04679","title":"ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations","created":"2023-12-07","cited_by_count":0,"area":null},{"id":"2401.17883","title":"Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques","created":"2024-01-31","cited_by_count":0,"area":null},{"id":"2406.06239","title":"I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2406.18837","title":"Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2501.06749","title":"Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation","created":"2025-01-12","cited_by_count":0,"area":null},{"id":"2509.20906","title":"Distant Object Localisation from Noisy Image Segmentation Sequences","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2602.21855","title":"Understanding Annotation Error Propagation and Learning an Adaptive Policy for Expert Intervention in Barrett's Video Segmentation","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2610.02946","title":"When Predicting Nothing Beats SAM 3: Revisiting Evaluation in Video Object Segmentation","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}