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
Source-Free Domain Adaptation Unsupervised Domain Adaptation
1 code implementation • 4 Mar 2021 • Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan K. Asari
In this work, we show a systematic design (from 2D to 3D) for how conventional networks and other forms of constraints can be incorporated into the attention framework for learning long-range dependencies for the task of pose estimation.
Ranked #6 on 3D Human Pose Estimation on HumanEva-I