103 citations · 623 across the 53 of their papers we have counts for
10 papers · 1 filter
Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen, Xinchao Wang, Youtan Yin +3
Knowledge distillation has demonstrated encouraging performances in deep model compression. Most existing approaches, however, require massive labeled data to accomplish the knowle…
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Shuai Xie, Zunlei Feng, Ying Chen +3
Active learning aims to address the paucity of labeled data by finding the most informative samples. However, when applying to semantic segmentation, existing methods ignore the se…
Learning Propagation Rules for Attribution Map Generation
Yiding Yang, Jiayan Qiu, Mingli Song +2
Prior gradient-based attribution-map methods rely on handcrafted propagation rules for the non-linear/activation layers during the backward pass, so as to produce gradients of the…
Factorizable Graph Convolutional Networks
Yiding Yang, Zunlei Feng, Mingli Song +1
Graphs have been widely adopted to denote structural connections between entities. The relations are in many cases heterogeneous, but entangled together and denoted merely as a sin…
Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer
Xinhui Song, Tianyang Shi, Zunlei Feng +5
Facial action unit (AU) intensity is an index to describe all visually discernible facial movements. Most existing methods learn intensity estimator with limited AU data, while the…
Impression Space from Deep Template Network
Gongfan Fang, Xinchao Wang, Haofei Zhang +2
It is an innate ability for humans to imagine something only according to their impression, without having to memorize all the details of what they have seen. In this work, we woul…