本文致力于收集深度学习图像处理方面的深度学习神经网络的文献。

图像分类(Classification)

• 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

目标检测(Object Detection)

• 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

Others

• 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