8 citations · 9 across the 5 of their papers we have counts for
5 papers
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
Sayak Paul, Siddha Ganju
Floods wreak havoc throughout the world, causing billions of dollars in damages, and uprooting communities, ecosystems and economies. The NASA Impact Flood Detection competition ta…
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Grigory Malivenko, Radu Timofte +28
Camera scene detection is among the most popular computer vision problem on smartphones. While many custom solutions were developed for this task by phone vendors, none of the desi…
Vision Transformers are Robust Learners
Sayak Paul, Pin-Yu Chen
Transformers, composed of multiple self-attention layers, hold strong promises toward a generic learning primitive applicable to different data modalities, including the recent bre…
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
In the realms of computer vision, it is evident that deep neural networks perform better in a supervised setting with a large amount of labeled data. The representations learned wi…
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with acc…