Visual-Linguistic Representation Learning with Deep Cross-Modality Fusion for Referring Multi-Object Tracking
Author:
Affiliation:
1. Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,Xiamen,China
2. Xiamen University,Key Laboratory of Multimedia Trusted Perception and Efficient Computing,Xiamen,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447535.pdf?arnumber=10447535
Reference23 articles.
1. Cooperative Five Degrees Of Freedom Motion Estimation For A Swarm Of Autonomous Vehicles
2. SVFormer: Semi-supervised Video Transformer for Action Recognition
3. Learning Correlation for Online Multiple Object Tracking
4. FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking
5. ByteTrack: Multi-object Tracking by Associating Every Detection Box
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving;IEEE Transactions on Intelligent Transportation Systems;2024
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