Simply a collection of classic computer vision papers
Image Classification
- Gradient-based learning applied to document recognition, LeNet-5, Proceedings of the IEEE 1998, pdf
- ImageNet Classification with Deep Convolutional Neural Networks, AlexNet, NIPS 2012, pdf, slides
- Visualizing and Understanding Convolutional Networks, ZFNet, ECCV 2014, pdf
- Network In Network, NiN, ICLR 2014, pdf
- Very Deep Convolutional Networks for Large-Scale Image Recognition, VGG, pdf
- Going Deeper with Convolutions, Inception, CVPR 2015, pdf
- Deep Residual Learning for Image Recognition, ResNet, CVPR 2016, pdf
- Wide Residual Networks, BMVC 2016 , pdf
- Rethinking the Inception Architecture for Computer Vision, Inception v3, CVPR, pdf
- Aggregated Residual Transformations for Deep Neural Networks, ResNext, pdf
- Densely Connected Convolutional Networks, DenseNet, CVPR 2017, pdf
- Squeeze-and-Excitation Networks, SENet, CVPR 2018, pdf
- Residual Attention Network for Image Classification, CVPR 2018, pdf
Video Classification
- A Closer Look at Spatiotemporal Convolutions for Action Recognition, R(2+1)D, CVPR 2018, pdf
- Video Classification with Channel-Separated Convolutional Networks, CVPR 2019, pdf
- Large-scale weakly-supervised pre-training for video action recognition, pdf
MISC Resources
- Computer Vision Foundation open access, including CVPR and ICCV