2 code implementations • CVPR 2019 • Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, Matthew R. Scott
A family of loss functions built on pair-based computation have been proposed in the literature which provide a myriad of solutions for deep metric learning.
Ranked #4 on Image Retrieval on In-Shop
no code implementations • ECCV 2018 • Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott
(i) we construct a hierarchical class-level tree where neighboring classes are merged recursively.
Ranked #8 on Image Retrieval on CARS196
2 code implementations • ECCV 2018 • Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang
We present a simple yet efficient approach capable of training deep neural networks on large-scale weakly-supervised web images, which are crawled raw from the Internet by using text queries, without any human annotation.
Ranked #1 on Image Classification on Clothing1M (using clean data) (using extra training data)