71 citations · 282 across the 21 of their papers we have counts for
21 papers
Understanding the Overfitting of the Episodic Meta-training
Siqi Hui, Sanping Zhou, Ye deng +1
Despite the success of two-stage few-shot classification methods, in the episodic meta-training stage, the model suffers severe overfitting. We hypothesize that it is caused by ove…
T-former: An Efficient Transformer for Image Inpainting
Ye Deng, Siqi Hui, Sanping Zhou +2
Benefiting from powerful convolutional neural networks (CNNs), learning-based image inpainting methods have made significant breakthroughs over the years. However, some nature of C…
Pseudo Labels Refinement with Intra-camera Similarity for Unsupervised Person Re-identification
Pengna Li, Kangyi Wu, Sanping Zhou. Qianxin Huang +1
Unsupervised person re-identification (Re-ID) aims to retrieve person images across cameras without any identity labels. Most clustering-based methods roughly divide image features…
Auxiliary Loss Reweighting for Image Inpainting
Siqi Hui, Sanping Zhou, Ye Deng +2
Image Inpainting is a task that aims to fill in missing regions of corrupted images with plausible contents. Recent inpainting methods have introduced perceptual and style losses a…
Memory-Free Generative Replay For Class-Incremental Learning
Xiaomeng Xin, Yiran Zhong, Yunzhong Hou +2
Regularization-based methods are beneficial to alleviate the catastrophic forgetting problem in class-incremental learning. With the absence of old task images, they often assume t…
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection
Rongye Meng, Sanping Zhou, Xingyu Wan +2
Due to the high annotation cost of large-scale facial landmark detection tasks in videos, a semi-supervised paradigm that uses self-training for mining high-quality pseudo-labels t…