{"total":18,"rows":[{"id":"2408.09332","title":"YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems","created":"2024-08-18","cited_by_count":7,"area":null},{"id":"2404.04848","title":"Task-Aware Encoder Control for Deep Video Compression","created":"2024-04-07","cited_by_count":6,"area":null},{"id":"2408.13126","title":"CathAction: A Benchmark for Endovascular Intervention Understanding","created":"2024-08-23","cited_by_count":6,"area":null},{"id":"2406.04999","title":"ProMotion: Prototypes As Motion Learners","created":"2024-06-07","cited_by_count":5,"area":null},{"id":"2407.19650","title":"Practical Video Object Detection via Feature Selection and Aggregation","created":"2024-07-29","cited_by_count":5,"area":null},{"id":"2404.11488","title":"Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems","created":"2024-04-17","cited_by_count":4,"area":null},{"id":"2410.12143","title":"Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark","created":"2024-10-16","cited_by_count":4,"area":null},{"id":"2506.20550","title":"Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos","created":"2025-06-25","cited_by_count":4,"area":null},{"id":"2307.07807","title":"MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis","created":"2023-07-15","cited_by_count":2,"area":null},{"id":"2309.01391","title":"SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2404.15252","title":"Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2308.11327","title":"Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection","created":"2023-08-22","cited_by_count":1,"area":null},{"id":"2412.04915","title":"Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection","created":"2024-12-06","cited_by_count":1,"area":null},{"id":"2506.22562","title":"Improving Token-based Object Detection with Video","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2307.10039","title":"Deteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking","created":"2023-07-14","cited_by_count":0,"area":null},{"id":"2404.01929","title":"Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2605.15423","title":"MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.17584","title":"VVitCutLER: Towards Unsupervised Object Detection and Segmentation in Videos","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}