5 citations · 6 across the 4 of their papers we have counts for
4 papers
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
Jiahua Dong, Yue Zhang, Qiuli Wang +7
Medical image segmentation is crucial in the field of medical imaging, aiding in disease diagnosis and surgical planning. Most established segmentation methods rely on supervised d…
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
Shuyi Ouyang, Hongyi Wang, Ziwei Niu +6
The task of multi-label image classification involves recognizing multiple objects within a single image. Considering both valuable semantic information contained in the labels and…
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
Hongyi Wang, Luyang Luo, Fang Wang +5
Multiple Instance Learning (MIL) has demonstrated promise in Whole Slide Image (WSI) classification. However, a major challenge persists due to the high computational cost associat…
Image-Based Virtual Try-On: A Survey
Dan Song, Xuanpu Zhang, Juan Zhou +4
Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image…