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"Image": models, code, and papers
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Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

Jan 13, 2021
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun

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Feature-Align Network with Knowledge Distillation for Efficient Denoising

Mar 18, 2021
Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra

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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

Jul 09, 2018
Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

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Carton dataset synthesis based on foreground texture replacement

Mar 25, 2021
Lijun Gou, Shengkai Wu, Jinrong Yang, Hangcheng Yu, Chenxi Lin, Xiaoping Li, Chao Deng

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Multi-Exposure Image Fusion Based on Exposure Compensation

Jun 23, 2018
Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota, Hitoshi Kiya

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Deep learning based geometric registration for medical images: How accurate can we get without visual features?

Mar 01, 2021
Lasse Hansen, Mattias P. Heinrich

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A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation

Jan 23, 2021
Jinyeong Chae, Ki Yong Hong, Jihie Kim

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Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones

Dec 20, 2020
Reza Maalek, Derek Lichti, Shahrokh Maalek

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A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Nov 17, 2020
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

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Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks

Jun 06, 2021
Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani

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