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Sayak Paul

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning


Aug 19, 2021
Sayak Paul, Siddha Ganju

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* Equal authorship. This is a work is a submission to the Emerging Techniques in Computational Intelligence (ETCI) competition on Flood Detection. Code and models are available on GitHub 
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Vision Transformers are Robust Learners


May 18, 2021
Sayak Paul, Pin-Yu Chen

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Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report


May 17, 2021
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui

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* Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/. arXiv admin note: substantial text overlap with arXiv:2105.08630; text overlap with arXiv:2105.07825, arXiv:2105.07809, arXiv:2105.08629 
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G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling


Sep 25, 2020
Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul

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* Code available at this URL: https://github.com/ariG23498/G-SimCLR. This paper is accepeted as a workshop paper at https://fuzhenzhuang.github.io/DLKT2020/index.html 
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A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends


May 30, 2019
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Atiah, Vadlamani Ravi, Alan Peters

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* 100 pages, 11 figures, 5 tables 
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