210 citations · 533 across the 17 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 3 cited
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization
Gengyu Lyu, Songhe Feng, Yi Jin +3
Partial Label Learning (PLL) aims to learn from the data where each training instance is associated with a set of candidate labels, among which only one is correct. Most existing m…
cs.LG2019★ 4 cited
GM-PLL: Graph Matching based Partial Label Learning
Gengyu Lyu, Songhe Feng, Tao Wang +2
Partial Label Learning (PLL) aims to learn from the data where each training example is associated with a set of candidate labels, among which only one is correct. The key to deal…
cs.CV2019★ 12 cited
Deep Reasoning with Multi-Scale Context for Salient Object Detection
Zun Li, Congyan Lang, Yunpeng Chen +2
To detect salient objects accurately, existing methods usually design complex backbone network architectures to learn and fuse powerful features. However, the saliency inference mo…