A Summary and notes about the papers I have read.
Deep Image Compression Relevant Papers:
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1511.06085 Variable Rate Image Compression with Recurrent Neural Networks
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1608.05148 Full Resolution Image Compression with Recurrent Neural Networks*
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1703.00395 Lossy Image Compression with Compressive Autoencoders (Twitter,CAE)
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1705.05823 Real-Time Adaptive Image Compression (WaveOne,ICML)
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1801.04260 Conditional Probability Models for Deep Image Compression (ETHZ)
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1801.09392 Shift-Net: Image Inpainting via Deep Feature Rearrangement (Zy Yan)
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1803.03004 Learning Effective Binary Visual Representations with Deep Networks (Wu Jianxin)
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Towards_Image_Understanding_from_Deep_Compression_without_Decoding
Object Detection Relevant Papers:
Two-stage:
R-CNN series:
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1311.2524 Rich feature hierarchies for accurate object detection and semantic segmentation [R-CNN]
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1406.4729 Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition [SPPNet]
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1506.01497 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
One-stage:
YOLO series: