362 citations · 1.3k across the 40 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 5 cited
Deep Metric Learning with Hierarchical Triplet Loss
Weifeng Ge, Weilin Huang, Dengke Dong +1
We present a novel hierarchical triplet loss (HTL) capable of automatically collecting informative training samples (triplets) via a defined hierarchical tree that encodes global c…
cs.CV2018★ 20 cited
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo, Weilin Huang, Haozhi Zhang +4
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 te…
cs.CV2018★ 31 cited
An end-to-end TextSpotter with Explicit Alignment and Attention
Tong He, Zhi Tian, Weilin Huang +3
Text detection and recognition in natural images have long been considered as two separate tasks that are processed sequentially. Training of two tasks in a unified framework is no…