Keyword

image classification

2 papers tagged “image classification”

AIICLR 2021 (9th International Conference on Learning Representations) · May 2021 Open access

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov and Neil Houlsby

This paper introduced the Vision Transformer (ViT), applying a standard Transformer encoder directly to sequences of image patches treated as tokens, with minimal vision-specific inductive biases. When pre-trained on large datasets and transferred to downstream tasks, ViT matched or exceeded state-of-the-art convolutional networks while requiring fewer computational resources to train. It demonstrated that convolutions are not necessary for strong image recognition at scale.

vision transformer image classification transformers computer vision

AI2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · Jun 2016 Open access

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun

The authors introduced a residual learning framework that reformulates network layers to learn residual functions with reference to their inputs (via identity 'shortcut' connections), making very deep networks substantially easier to optimize. They showed that such residual networks gain accuracy from greatly increased depth, evaluating models up to 152 layers deep on ImageNet at lower complexity than VGG networks. The approach won first place in the ILSVRC 2015 classification task and yielded large improvements on detection and localization benchmarks.

deep learning computer vision convolutional neural networks image classification