Summary of Pre-trained Vision-language Models As Partial Annotators, by Qian-wei Wang et al.
Pre-Trained Vision-Language Models as Partial Annotatorsby Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao…
Pre-Trained Vision-Language Models as Partial Annotatorsby Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao…
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Predictionby Yice Zhang, Jie Zeng, Weiming Hu,…
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Modelsby Fangzhi Xu, Qiushi Sun, Kanzhi…
Uncertainty-aware self-training with expectation maximization basis transformationby Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen JiaFirst…
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentationby Qing En, Yuhong GuoFirst submitted to arxiv on:…
S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editingby Guangzhi Wang, Tianyi Chen, Kamran…
Collapse of Self-trained Language Modelsby David Herel, Tomas MikolovFirst submitted to arxiv on: 2 Apr…
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Cloudsby Zhimin Yuan, Wankang…
SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenariosby Ding-Tao…
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation…