- AlexNet http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
- VGG https://arxiv.org/abs/1409.1556
- GoogLeNet, Inceptionv1(Going deeper with convolutions) https://arxiv.org/abs/1409.4842
- Batch Normalization https://arxiv.org/abs/1502.03167
- Inceptionv3(Rethinking the Inception Architecture for Computer Vision) https://arxiv.org/abs/1512.00567
- Inceptionv4, Inception-ResNet https://arxiv.org/abs/1602.07261
- Xception(Deep Learning with Depthwise Separable Convolutions) https://arxiv.org/abs/1610.02357
- ResNet https://arxiv.org/abs/1512.03385
- ResNeXt https://arxiv.org/abs/1611.05431
- DenseNet https://arxiv.org/abs/1608.06993
- NASNet-A(Learning Transferable Architectures for Scalable Image Recognition) https://arxiv.org/abs/1707.07012
- SENet(Squeeze-and-Excitation Networks) https://arxiv.org/abs/1709.01507
- MobileNet(v1) https://arxiv.org/abs/1704.04861
- MobileNet(v2) https://arxiv.org/abs/1801.04381
- MobileNet(v3) https://arxiv.org/abs/1905.02244
- ShuffleNet(v1) https://arxiv.org/abs/1707.01083
- ShuffleNet(v2) https://arxiv.org/abs/1807.11164
- EfficientNet https://arxiv.org/abs/1905.11946
- CSPNet https://arxiv.org/abs/1911.11929
- RegNet https://arxiv.org/abs/2003.13678
- NFNets(High-Performance Large-Scale Image Recognition Without Normalization) https://arxiv.org/abs/2102.06171
- R-CNN https://arxiv.org/abs/1311.2524
- Fast R-CNN https://arxiv.org/abs/1504.08083
- Faster R-CNN https://arxiv.org/abs/1506.01497
- Mask R-CNN https://arxiv.org/abs/1703.06870
- SSD https://arxiv.org/abs/1512.02325
- FPN(Feature Pyramid Networks for Object Detection) https://arxiv.org/abs/1612.03144
- RetinaNet(Focal Loss for Dense Object Detection) https://arxiv.org/abs/1708.02002
- YOLOv1 https://arxiv.org/abs/1506.02640
- YOLOv2 https://arxiv.org/abs/1612.08242
- YOLOv3 https://arxiv.org/abs/1804.02767
- YOLOv4 https://arxiv.org/abs/2004.10934
- Microsoft COCO: Common Objects in Context https://arxiv.org/abs/1405.0312
- The PASCALVisual Object Classes Challenge: A Retrospective http://host.robots.ox.ac.uk/pascal/VOC/pubs/everingham15.pdf