Tracked-Vehicle Retrieval by Natural Language Descriptions with Multi-Contextual Adaptive Knowledge-Reference-Cited by-同舟云学术

Tracked-Vehicle Retrieval by Natural Language Descriptions with Multi-Contextual Adaptive Knowledge

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
language:
Short-container-title:

Author:

Le Huy Dinh-Anh¹,Qui-Vinh Nguyen Quang¹,Luu Duc Trung¹,Thi-Thanh Chau Truc¹,Chung Nhat Minh¹,Viet-Uyen Ha Synh¹

Affiliation:

1. International University,School of Computer Science and Engineering,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208633.pdf?arnumber=10208633

Reference26 articles.

1. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,2014

2. Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge

3. Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks;lu;Neural Information Processing Systems,2019

4. Decoupled weight decay regularization;loshchilov;International Conference on Learning Representations,2017

5. Momentum contrast for unsupervised visual representation learning;he;2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2019

Cited by 2 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. TRET: Two Stream-Based Regionally Enhanced Transformers for Person Re-Identification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. The 7th AI City Challenge;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06