1 code implementation • 28 Apr 2024 • Haiwen Diao, Ying Zhang, Shang Gao, Xiang Ruan, Huchuan Lu
Specifically, we propose a brand-new Deep Boosting Learning (DBL) algorithm, where an anchor branch is first trained to provide insights into the data properties, with a target branch gaining more advanced knowledge to develop optimal features and distance metrics.
no code implementations • 26 Mar 2024 • Jiawen Zhu, Xin Chen, Haiwen Diao, Shuai Li, Jun-Yan He, Chenyang Li, Bin Luo, Dong Wang, Huchuan Lu
For instance, DyTrack obtains 64. 9% AUC on LaSOT with a speed of 256 fps.
1 code implementation • 28 Aug 2023 • Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen
Parameter-efficient transfer learning (PETL), i. e., fine-tuning a small portion of parameters, is an effective strategy for adapting pre-trained models to downstream domains.
1 code implementation • 23 Mar 2023 • Haiwen Diao, Ying Zhang, Wei Liu, Xiang Ruan, Huchuan Lu
Exploiting fine-grained correspondence and visual-semantic alignments has shown great potential in image-text matching.
Ranked #2 on Image Retrieval on Flickr30K 1K test
1 code implementation • 5 Jan 2021 • Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu
Image-text matching plays a critical role in bridging the vision and language, and great progress has been made by exploiting the global alignment between image and sentence, or local alignments between regions and words.
Ranked #3 on Image Retrieval on Flickr30K 1K test