20 citations · 40 across the 7 of their papers we have counts for
6 papers · 1 filter
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Xiaohua Chen, Yucan Zhou, Dayan Wu +4
Real-world data often follows a long-tailed distribution, which makes the performance of existing classification algorithms degrade heavily. A key issue is that samples in tail cat…
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
Xiaoni Li, Yucan Zhou, Yu Zhou +1
Hierarchical classification is significant for complex tasks by providing multi-granular predictions and encouraging better mistakes. As the label structure decides its performance…
Rescuing Deep Hashing from Dead Bits Problem
Shu Zhao, Dayan Wu, Yucan Zhou +2
Deep hashing methods have shown great retrieval accuracy and efficiency in large-scale image retrieval. How to optimize discrete hash bits is always the focus in deep hashing metho…
Exploring Relations in Untrimmed Videos for Self-Supervised Learning
Dezhao Luo, Bo Fang, Yu Zhou +3
Existing video self-supervised learning methods mainly rely on trimmed videos for model training. However, trimmed datasets are manually annotated from untrimmed videos. In this se…
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Yucan Zhou, Yu Wang, Jianfei Cai +3
Deep neural networks are highly effective when a large number of labeled samples are available but fail with few-shot classification tasks. Recently, meta-learning methods have rec…
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
Zhi Qiao, Yu Zhou, Dongbao Yang +2
Scene text recognition is a hot research topic in computer vision. Recently, many recognition methods based on the encoder-decoder framework have been proposed, and they can handle…