14.5k citations · 48.8k across the 185 of their papers we have counts for
16 papers · 1 filter
Self-Supervised Equivariant Scene Synthesis from Video
Cinjon Resnick, Or Litany, Cosmas Heiß +3
We propose a self-supervised framework to learn scene representations from video that are automatically delineated into background, characters, and their animations. Our method cap…
Learned Equivariant Rendering without Transformation Supervision
Cinjon Resnick, Or Litany, Hugo Larochelle +2
We propose a self-supervised framework to learn scene representations from video that are automatically delineated into objects and background. Our method relies on moving objects…
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon, Kyunghyun Cho
Contrastive self-supervised learning (CSL) is an approach to learn useful representations by solving a pretext task that selects and compares anchor, negative and positive (APN) fe…
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen, Nan Wu, Jason Phang +8
Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these differences, neural network architectures that work…
Augmentation for small object detection
Mate Kisantal, Zbigniew Wojna, Jakub Murawski +2
In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of smal…
Saliency-based Sequential Image Attention with Multiset Prediction
Sean Welleck, Jialin Mao, Kyunghyun Cho +1
Humans process visual scenes selectively and sequentially using attention. Central to models of human visual attention is the saliency map. We propose a hierarchical visual archite…