22 citations · 25 across the 4 of their papers we have counts for
4 papers
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification
Jun Yu, Hao Chang, Keda Lu +3
Multi-modal aerial view object classification (MAVOC) in Automatic target recognition (ATR), although an important and challenging problem, has been under studied. This paper first…
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
Hao Chang, Guochen Xie, Jun Yu +1
Semi-supervised Fine-Grained Recognition is a challenge task due to the difficulty of data imbalance, high inter-class similarity and domain mismatch. Recent years, this field has…
Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
Siang-Ruei Wu, Hao-Yun Chang, Florence T Su +6
Semantic segmentation of medical images with deep learning models is rapidly developed. In this study, we benchmarked state-of-the-art deep learning segmentation algorithms on our…
Skin cancer reorganization and classification with deep neural network
Hao Chang
As one kind of skin cancer, melanoma is very dangerous. Dermoscopy based early detection and recarbonization strategy is critical for melanoma therapy. However, well-trained dermat…