Deep Residual Learning for Image Recognition
ResNet, an image-recognition network, uses shortcuts between layers to make much deeper networks easier to train.
2016
353,189
Works
Selected research papers and books, linked to their authors.
ImageNet Classification with Deep Convolutional Neural Networks
AlexNet sharply improved image recognition with a deep neural network.
2012
202,088
Very Deep Convolutional Networks for Large-Scale Image Recognition
VGG networks improved image recognition by stacking more layers.
2014
167,467
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net outlines cells and other structures in biomedical images.
2015
153,640
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shared neural-network processing made locating and identifying objects faster with Faster R-CNN.
2015
112,067
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
The Vision Transformer recognizes images by treating patches like words in a sequence.
2021
111,517
ImageNet: A Large-Scale Hierarchical Image Database
A large labeled image collection for training and testing object-recognition systems.
2009
104,471
Gradient-Based Learning Applied to Document Recognition
Showed how neural networks could learn to read handwritten characters for document processing.
1998
91,484
You Only Look Once: Unified, Real-Time Object Detection
YOLO locates and identifies objects in a single network pass for real-time detection.
2016
84,251
Microsoft COCO: Common Objects in Context
A dataset of everyday scenes with individual objects labeled and outlined.
2014
77,333