74 citations · 82 across the 7 of their papers we have counts for
7 papers
Learning to Detect Noisy Labels Using Model-Based Features
Zhihao Wang, Zongyu Lin, Peiqi Liu +5
Label noise is ubiquitous in various machine learning scenarios such as self-labeling with model predictions and erroneous data annotation. Many existing approaches are based on he…
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts
Zhihao Wang, Chuang Zhu
Explaining deep learning models is of vital importance for understanding artificial intelligence systems, improving safety, and evaluating fairness. To better understand and contro…
Temporal Saliency Query Network for Efficient Video Recognition
Boyang Xia, Zhihao Wang, Wenhao Wu +2
Efficient video recognition is a hot-spot research topic with the explosive growth of multimedia data on the Internet and mobile devices. Most existing methods select the salient f…
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Meng Xu, Zhihao Wang, Jiasong Zhu +2
Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-re…
Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel
Zhihao Wang, Yanwei Yu, Yibo Wang +2
Offline Chinese handwriting text recognition is a long-standing research topic in the field of pattern recognition. In previous studies, text detection and recognition are separate…
Adaptive Task Sampling for Meta-Learning
Chenghao Liu, Zhihao Wang, Doyen Sahoo +3
Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks. The key idea of meta-learning for few-shot classif…
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang, Jian Chen, Steven C. H. Hoi
Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed rema…