Self-Parameter Distillation Dehazing
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[1] W. Zuo,et al. Self-supervised Learning and Adaptation for Single Image Dehazing , 2022, IJCAI.
[2] Jianzhuang Liu,et al. Uncertainty-Driven Dehazing Network , 2022, AAAI.
[3] Ling Shao,et al. NTIRE 2021 NonHomogeneous Dehazing Challenge Report , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[4] Lizhuang Ma,et al. Contrastive Learning for Compact Single Image Dehazing , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Keyan Wang,et al. A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[6] M. Fu,et al. DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[7] Ling Shao,et al. Multi-Stage Progressive Image Restoration , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Guolin Wang,et al. Deep Retinex Network for Single Image Dehazing , 2020, IEEE Transactions on Image Processing.
[9] Tao Dai,et al. Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution , 2020, 2020 IEEE International Conference on Image Processing (ICIP).
[10] Jingbo Zhu,et al. Weight Distillation: Transferring the Knowledge in Neural Network Parameters , 2020, ACL.
[11] Bumsub Ham,et al. Learning with Privileged Information for Efficient Image Super-Resolution , 2020, ECCV.
[12] Yanyun Qu,et al. Distilling Image Dehazing With Heterogeneous Task Imitation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Jing Liu,et al. Trident Dehazing Network , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[14] Qi Xie,et al. A Model-Driven Deep Neural Network for Single Image Rain Removal , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Lei Xiang,et al. Multi-Scale Boosted Dehazing Network With Dense Feature Fusion , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Chen Chen,et al. Multi-Scale Progressive Fusion Network for Single Image Deraining , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Xiaodong Xie,et al. FFA-Net: Feature Fusion Attention Network for Single Image Dehazing , 2019, AAAI.
[18] Ming-Hsuan Yang,et al. Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges , 2019, International Journal of Computer Vision.
[19] Yu Cheng,et al. Patient Knowledge Distillation for BERT Model Compression , 2019, EMNLP.
[20] Jun Chen,et al. GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Xiaogang Wang,et al. Deep Self-Learning From Noisy Labels , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Fahad Shahbaz Khan,et al. NTIRE 2019 Challenge on Video Deblurring: Methods and Results , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[23] Vishal M. Patel,et al. Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Wei-Shi Zheng,et al. Distilled Person Re-Identification: Towards a More Scalable System , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Kaisheng Ma,et al. Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] Masanori Suganuma,et al. Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Ke Chen,et al. Structured Knowledge Distillation for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Qinghua Hu,et al. Progressive Image Deraining Networks: A Better and Simpler Baseline , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Tong Tong,et al. Image Super-Resolution Using Knowledge Distillation , 2018, ACCV.
[30] Luc Van Gool,et al. Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding , 2018, ECCV.
[31] Hongbin Zha,et al. Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining , 2018, ECCV.
[32] Joo-Hwee Lim,et al. DehazeGAN: When Image Dehazing Meets Differential Programming , 2018, IJCAI.
[33] Radu Timofte,et al. O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[34] Wei Liu,et al. Gated Fusion Network for Single Image Dehazing , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Vishal M. Patel,et al. Densely Connected Pyramid Dehazing Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Luc Van Gool,et al. Domain Adaptive Faster R-CNN for Object Detection in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Dan Alistarh,et al. Model compression via distillation and quantization , 2018, ICLR.
[38] Alexei A. Efros,et al. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[39] Li Fei-Fei,et al. MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels , 2017, ICML.
[40] Wenjun Zeng,et al. RESIDE: A Benchmark for Single Image Dehazing , 2017, ArXiv.
[41] Tony X. Han,et al. Learning Efficient Object Detection Models with Knowledge Distillation , 2017, NIPS.
[42] Jizheng Xu,et al. AOD-Net: All-in-One Dehazing Network , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[43] Harri Valpola,et al. Weight-averaged consistency targets improve semi-supervised deep learning results , 2017, ArXiv.
[44] Xiaochun Cao,et al. Single Image Dehazing via Multi-scale Convolutional Neural Networks , 2016, ECCV.
[45] Shuicheng Yan,et al. Deep Joint Rain Detection and Removal from a Single Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Shai Avidan,et al. Non-local Image Dehazing , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Dacheng Tao,et al. DehazeNet: An End-to-End System for Single Image Haze Removal , 2016, IEEE Transactions on Image Processing.
[48] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[49] Raanan Fattal,et al. Dehazing Using Color-Lines , 2014, ACM Trans. Graph..
[50] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[51] Codruta O. Ancuti,et al. Layer-based single image dehazing by per-pixel haze detection , 2010, SIGGRAPH ASIA.
[52] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Mohinder Malhotra. Single Image Haze Removal Using Dark Channel Prior , 2016 .