processing_classification.md

Image Processing, Classification, Recognition and Object Detection

Image Processing

• [2018 IJCAI] DehazeGAN: When Image Dehazing Meets Differential Programming, [paper], [bibtex].
• [2018 AAAI] Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training, [paper], [bibtex].
• [2021 TIP] EnlightenGAN: Deep Light Enhancement without Paired Supervision, [paper], [bibtex], sources: [TAMU-VITA/EnlightenGAN].

Image Classification and Recognition

• [2012 NIPS] ImageNet Classification with Deep Convolutional Neural Networks, AlexNet, [paper], [bibtex].
• [2014 ArXiv] Very Deep Convolutional Networks for Large-Scale Image Recognition, VGG, [paper], [bibtex].
• [2014 ECCV] Visualizing and Understanding Convolutional Networks, [paper], [bibtex].
• [2015 CVPR] Going Deeper with Convolutions, GoogLeNet, [paper], [bibtex].
• [2015 ICCV] Learning Spatiotemporal Features with 3D Convolutional Networks, [paper], [bibtex], [homepage], sources: [facebook/C3D], [hx173149/C3D-tensorflow].
• [2015 ICCV] Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, [paper], [bibtex], [Kaiming He's homepage], sources: [nutszebra/prelu_net].
• [2015 ICMLW] Siamese Neural Networks for One-shot Image Recognition, [paper], [bibtex], sources: [Goldesel23/Siamese-Networks-for-One-Shot-Learning].
• [2016 CVPR] Deep Residual Learning for Image Recognition, [paper], [bibtex], sources: [wenxinxu/resnet-in-tensorflow].
• [2016 NIPS] Matching Networks for One Shot Learning, [paper], [bibtex], source: [AntreasAntoniou/MatchingNetworks], [BoyuanJiang/matching-networks-pytorch].
• [2017 CVPR] Densely Connected Convolutional Networks, [paper], [bibtex] sources: [liuzhuang13/DenseNet].
• [2017 ICLR] Adversarially Learned Inference, [paper], [bibtex], sources: [IshmaelBelghazi/ALI], [otenim/ALI-Keras2], [edgarriba/ali-pytorch].
• [2018 CVPR] Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs, [paper], [bibtex], [blog], sources: [JudyYe/zero-shot-gcn].
• [2018 CVPR] Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks, [paper], [bibtex], sources: [zjuchenlong/sp-aen.cvpr18].
• [2018 CVPR] Squeeze-and-Excitation Networks, [paper], [bibtex], sources: [hujie-frank/SENet].
• [2018 ICLR] Beyond Shared Hierarchies: Deep Multitask Learning Through Soft Layer Ordering, [paper], [bibtex].
• [2019 ICCV] S4L: Self-Supervised Semi-Supervised Learning, [paper], [bibtex], sources: [google-research/s4l].
• [2019 ICML] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, [paper], [bibtex], sources: [tensorflow/tpu/models/official/efficientnet/], [zsef123/EfficientNets-PyTorch], [narumiruna/efficientnet-pytorch], [titu1994/keras-efficientnets].
• [2019 NeurIPS] Stand-Alone Self-Attention in Vision Models, [paper], [bibtex], sources: [leaderj1001/Stand-Alone-Self-Attention], [google-research/standalone_self_attention_in_vision_models].
• [2020 CVPR] DeepEMD: Few-Shot Image Classification with Differentiable Earth Movers, [paper], [bibtex], sources: [icoz69/DeepEMD].
• [2020 ArXiv] ResNeSt: Split-Attention Networks, [paper], [bibtex], sources: [zhanghang1989/ResNeSt].
• [2021 CVPR] Counterfactual Zero-Shot and Open-Set Visual Recognition, [paper], [bibtex], sources: [yue-zhongqi/gcm-cf].