Aug 26, 2022 · In this paper, we achieve strengthened tracking performance in complex scenarios by utilizing the rich temporal information derived from the tracking process.
Aug 12, 2022 · In this paper, we achieve strengthened tracking performance in complex scenarios by utilizing the rich temporal information derived from the ...
Aug 26, 2022 · Existing multi-object trackers mainly apply the tracking-by-detection (TBD) paradigm and have achieved remarkable success.
Leveraging temporal-aware fine-grained features for robust multiple object tracking ... object tracking in UAV videos using task-specific fine-grained features ...
In this paper, we achieve strengthened tracking performance in complex scenarios by utilizing the rich temporal information derived from the tracking process to ...
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Leveraging temporal-aware fine-grained features for robust multiple object tracking. H Wu, J Nie, Z Zhu, Z He, M Gao. The Journal of Supercomputing 79 (3) ...
Leveraging temporal-aware fine-grained features for robust multiple object tracking. Article. Full-text available. Aug 2022. Han Wu · Jiahao Nie ...
14 Citations · Leveraging temporal-aware fine-grained features for robust multiple object tracking · CORT: Class-Oriented Real-time Tracking for Embedded Systems.
Mar 17, 2024 · This work proposes NetTrack, an efficient, generic, and affordable tracking framework to introduce fine-grained learning that is robust to dynamicity.
Feb 9, 2024 · Leveraging temporal-aware fine-grained features for robust multiple object tracking ... Deep learning in multi-object detection and tracking ...