Jan 14, 2022 · In this paper, we propose a novel SSL framework named Mutual Learning of Multiple Self-supervised Models (MLMSM) for social media image ...
To this end, we propose a two-stage semisupervised learning framework. In the first stage, we train two Self-supervised Models (SSMs). One model is initialized ...
Jan 14, 2022 · Image classification has been widely adopted by current social media applications. Compared with fully supervised classification, ...
Consequently, we propose a semi-supervised contrastive mutual learning (Semi-CML) segmentation framework, where a novel area-similarity contrastive (ASC) loss ...
To address this problem, we propose a novel deep semi-supervised multiple instance learning framework in which an instance-level classifier is trained in an end ...
In a self-supervised setting, pre-training involves an auxiliary task performed without using ground truth labels to learn strong representations. In the case ...
An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources. - awesome-semi-supervised-learning/files/img_classification.md ...
In this paper, we propose a genuine group-level contrastive visual representation learning method whose linear evaluation performance on ImageNet surpasses the ...
Semi-supervised learning, which entails training a model with manually labeled images and pseudo-labels for unlabeled images, has garnered considerable ...
Apr 26, 2023 · Self-supervised learning has the potential to make significant contributions to the development of robust medical imaging models through its ...