1 code implementation • 28 May 2024 • Dongjie Chen, Kartik Patwari, Zhengfeng Lai, Sen-ching Cheung, Chen-Nee Chuah
Source-Free Domain Adaptation (SFDA) aims to adapt a pre-trained source model to a target domain using only unlabeled target data.
Ranked #1 on Domain Adaptation on VisDA2017
no code implementations • 5 Feb 2024 • Ammar Haydari, Dongjie Chen, Zhengfeng Lai, Michael Zhang, Chen-Nee Chuah
Then, we constrained the training process via a road connectivity matrix that provides the connectivity of sequences in trajectory generation, thereby keeping generated trajectories in geospatial limits.
1 code implementation • 11 Oct 2023 • Zhengfeng Lai, Haotian Zhang, BoWen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao
For example, VeCLIP achieves up to +25. 2% gain in COCO and Flickr30k retrieval tasks under the 12M setting.
no code implementations • ICCV 2023 • Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah
We then utilize CLIP's zero-shot prediction to formulate a Pseudo-labeling setting with Adaptive Debiasing in CLIP (PADCLIP) by adjusting causal inference with our momentum and CFM.
Ranked #3 on Unsupervised Domain Adaptation on DomainNet