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CV-DL Recommandations

Recommanded resources in Computer Vision and Deep Learning including advanced paper and issue-solutions in experiments.

Contents

Backbone Network

Image Recognition

Super Resolution

Object Detection

Semantic Segmentation

  • Vortex Pooling: Improving Context Representation in Semantic Segmentation(2018.4) [pdf]
  • Pyramid Attention Network for Semantic Segmentation(2018.5) [pdf]

Image Caption

  • Show, Attend and Tell: Neural Image Caption Generation with Visual Attention(2015) [pdf] [code_tensorflow] [code_PyTorch]
  • Image Captioning with Semantic Attention(2016) [pdf] [code]
  • Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering(2017) [pdf][code]
  • Convolutional Image Captioning(2017) [pdf] [code]
  • CNN+CNN: Convolutional Decoders for Image Captioning (2018) [pdf]

Generative Adversarial Networks

  • Video-to-Video Synthesis(2018) [pdf] [code_PyTorch]
  • Diverse Image-to-Image Translation via Disentangled Representations(2018.8) [pdf] [code_PyTorch] (Notes: maybe suitable for unpaired MR-CT synthesis for human body)

Attention Mechanism

  • Show, Attend and Tell: Neural Image Caption Generation with Visual Attention(2015) [pdf] [code_TensorFlow] [code_PyTorch]
  • Image Captioning with Semantic Attention(2016) [pdf] [code]
  • Attention Is All You Need(2017) [pdf] [code_PyTorch] [code_TensorFlow]
  • Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering(2017) [pdf] [code]
  • Attention U-Net:Learning Where to Look for the Pancreas(2018) [pdf] [code]
  • Self-Attention Generative Adversarial Networks(2018.5) [pdf] [code_PyTorch] (Notes: ε°†θ‡ͺζˆ‘ζ³¨ζ„ζœΊεˆΆεΌ•ε…₯到GANηš„η”Ÿζˆζ¨‘εž‹δΈ­οΌŒε―ΉδΊŽε›Ύεƒηš„ηΊΉη†ε’Œε‡ δ½•δΈŠηš„θ”η³»ζδΎ›ε…¨ε±€ηš„ζ³¨ζ„δ½ΏεΎ—η”Ÿζˆηš„ε›Ύεƒζ›΄εŠ ηš„εˆη†)
  • Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction(2018) [pdf] [code]

Natural Language Processing Related

  • Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction(2018) [pdf] [code]

Dataset and Contest

1. Dataset

2. Contest

Training Techniques

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Paper Notes in Computer Vision and Deep Learning(Machine Learning)

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