28 citations · 49 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 20 cited
Residual Knowledge Distillation
Mengya Gao, Yujun Shen, Quanquan Li +1
Knowledge distillation (KD) is one of the most potent ways for model compression. The key idea is to transfer the knowledge from a deep teacher model (T) to a shallower student (S)…
cs.CV2019★ 1 cited
Equalization Loss for Large Vocabulary Instance Segmentation
Jingru Tan, Changbao Wang, Quanquan Li +1
Recent object detection and instance segmentation tasks mainly focus on datasets with a relatively small set of categories, e.g. Pascal VOC with 20 classes and COCO with 80 classes…
cs.CV2019★ 28 cited
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy, Dahua Lin, Wanli Ouyang +49
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurat…