In this story, Defocus Blur Detection by Fusing Multiscale Deep Features With Conv-LSTM, MsFEN+MsBEN, by Civil Aviation University of China, is reviewed. In this paper:
This is a paper in 2020 IEEE ACCESS where ACCESS is a open access journal with high impact factor of 3.745. (Sik-Ho Tsang @ Medium)
In this story, Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation, BDNet, by Southeast University, and International Joint Laboratory of Information Display and Visualization, is reviewed. In this paper:
This is a paper in 2020 IEEE ACCESS where ACCESS is a open access journal with high impact factor of 3.745. (Sik-Ho Tsang @ Medium)
In this story, DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features, DeFusionNET, by China University of Geosciences, National University of Defense Technology, Peng Cheng Laboratory, University of Wollongong, Southwestern University of Finance and Economics, University of Sydney, and University of Salento, is reviewed.
In this story, Defocus and Motion Blur Detection with Deep Contextual Features, Kim JCGF’18, by POSTECH, and DGIST, is reviewed. In this paper:
This is a paper in 2018 JCGF, Computer Graphics Forum. (Sik-Ho Tsang @ Medium)
In this story, DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features, DeFusionNET, by China University of Geosciences, Zhejiang Normal University, National University of Defense Technology, and University of Sydney, is reviewed. In this paper:
This is a paper in 2019 CVPR with 20 citations. (Sik-Ho Tsang @…
In this story, Deep Defocus Map Estimation using Domain Adaptation, DMENet, by POSTECH, Sungkyunkwan University, and DGIST, are reviewed. In this paper:
In this story, Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network, CENet, by Dalian University of Technology, is reviewed. In this paper:
This is a paper in 2019 CVPR with over 15 citations. (Sik-Ho Tsang @ Medium)
In this story, Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks, Grad-CAM++, by Indian Institute of Technology Hyderabad, and Cisco Systems, is presented. In this paper:
In this story, Accurate and Fast Blur Detection Using a Pyramid M-Shaped Deep Neural Network, PM-Net, by University of Science and Technology of China, and Shijiazhuang Tiedao University, is reviewed.
There are challenging scenarios using handcrafted features:
In this paper:
In this story, A Local Metric for Defocus Blur Detection Based on CNN Feature Learning, Zeng TIP’19, Hunan University, and National Engineering Laboratory for Robot Visual Perception and Control Technology, is reviewed. In this paper:
This is a paper in 2019 TIP where TIP has a high impact factor of 9.34. (Sik-Ho Tsang @…
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