no code implementations • ICCV 2023 • Zhiyu Wu, Jinshi Cui
Facial expression recognition (FER) remains a challenging task due to the ambiguity of expressions.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 17 Jan 2023 • Xiangyu Qin, Zhiyu Wu, Jinshi Cui, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang
Accordingly, we propose a novel paradigm, i. e., exploring contextual information and dialogue structure information in the fine-tuning step, and adapting the PLM to the ERC task in terms of input text, classification structure, and training strategy.
1 code implementation • NeurIPS 2021 • Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, LiWei Wang
The confidence bank is leveraged as an indicator to tilt training towards under-performing categories, instantiated in three strategies: 1) adaptive Copy-Paste and CutMix data augmentation approaches which give more chance for under-performing categories to be copied or cut; 2) an adaptive data sampling approach to encourage pixels from under-performing category to be sampled; 3) a simple yet effective re-weighting method to alleviate the training noise raised by pseudo-labeling.
1 code implementation • CVPR 2021 • Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, LiWei Wang
In this work, aiming to fully exploit features of annotated novel object and capture fine-grained features of query object, we propose Dense Relation Distillation with Context-aware Aggregation (DCNet) to tackle the few-shot detection problem.
1 code implementation • ICCV 2021 • Hanzhe Hu, Jinshi Cui, LiWei Wang
Inspired by recent progress in unsupervised contrastive learning, we propose the region-aware contrastive learning (RegionContrast) for semantic segmentation in the supervised manner.