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OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ImageNet, Places205, and VOC07 datasets for evaluation. -
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
Recent self-supervised visual representation methods are closing the gap with supervised learning performance. Most of these successful methods rely on maximizing the similarity... -
MST: Masked Self-Supervised Transformer for Visual Representation
The proposed method is a self-supervised learning approach for visual representation learning, which can explicitly capture the local context of an image while preserving the... -
MOCA: Masked Online Codebook Assignments prediction
Self-supervised representation learning for Vision Transformers (ViT) to mitigate the greedy needs of ViT networks for very large fully-annotated datasets.
