Meta-learners for few-shot weakly-supervised medical image segmentation

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 214.9K citations · Full text

Image Classification, Deep Neural Networks, Machine Vision +14

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.5K citations · Full text

Artificial Intelligence, Mathematical Programming, Model Optimization +14

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. · 2017 · 24.4K citations

Image Classification, Convolutional Neural Network, Image Analysis +15

Rethinking Atrous Convolution for Semantic Image Segmentation

Liang-Chieh Chen, George Papandreou, Florian Schroff et al. · arXiv (Cornell University) · 2017 · 7.4K citations · Full text

Convolutional Neural Network, Scene Analysis, Engineering +16

Exploring Simple Siamese Representation Learning

Xinlei Chen, Kaiming He · 2021 · 3.2K citations

Natural Language Processing, Few-shot Learning, Siamese Networks +14