194 citations · 234 across the 5 of their papers we have counts for
5 papers · 1 filter
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
Xianing Chen, Qiong Cao, Yujie Zhong +3
Transformers are successfully applied to computer vision due to their powerful modeling capacity with self-attention. However, the excellent performance of transformers heavily dep…
OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification
Xianing Chen, Chunlin Xu, Qiong Cao +6
Transformers have shown preferable performance on many vision tasks. However, for the task of person re-identification (ReID), vanilla transformers leave the rich contexts on high-…
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Canmiao Fu, Wenjie Pei, Qiong Cao +4
Typical methods for supervised sequence modeling are built upon the recurrent neural networks to capture temporal dependencies. One potential limitation of these methods is that th…
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie +2
In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each subje…
Template Adaptation for Face Verification and Identification
Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi +3
Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset for imagery and the YouTubeFaces…