94 citations · 291 across the 30 of their papers we have counts for
6 papers · 1 filter
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao, Lihe Yang, Sifan Long +3
Recent studies on semi-supervised semantic segmentation (SSS) have seen fast progress. Despite their promising performance, current state-of-the-art methods tend to increasingly co…
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Zhen Zhao, Sifan Long, Jimin Pi +2
Recently, semi-supervised semantic segmentation has achieved promising performance with a small fraction of labeled data. However, most existing studies treat all unlabeled data eq…
A Medical Semantic-Assisted Transformer for Radiographic Report Generation
Zhanyu Wang, Mingkang Tang, Lei Wang +2
Automated radiographic report generation is a challenging cross-domain task that aims to automatically generate accurate and semantic-coherence reports to describe medical images.…
Instance Image Retrieval by Learning Purely From Within the Dataset
Zhongyan Zhang, Lei Wang, Yang Wang +4
Quality feature representation is key to instance image retrieval. To attain it, existing methods usually resort to a deep model pre-trained on benchmark datasets or even fine-tune…
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan, Lei Qi, Lei Wang +2
In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confiden…
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan, Zhen Zhao, Lei Qi +4
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization o…