1 code implementation • 12 Oct 2022 • Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio
Our proposed model uses word-embedding representations as semantic features to help train the embedding network and a semantic cross-attention module to bridge the semantic features into the typical visual modal.
1 code implementation • 9 Sep 2020 • Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio
We conclude that the success of metric-learning based approaches lies in the data embedding, the representative of each class, and the distance metric.
no code implementations • IEEE Access 2020 • Chien-Liang Liu, CHUAN-CHIN CHANG, AND CHUN-JAN TSENG
Many methods assumed that the scheduling results were applied to static environments, but the whole environments in the real world are always dynamic.