2 code implementations • 14 Apr 2022 • Debapriya Maji, Soyeb Nagori, Manu Mathew, Deepak Poddar
All experiments and results reported in this paper are without any test time augmentation, unlike traditional approaches that use flip-test and multi-scale testing to boost performance.
Ranked #30 on Pose Estimation on COCO test-dev (AP50 metric)
no code implementations • 30 Apr 2020 • Aniket Limaye, Manu Mathew, Soyeb Nagori, Pramod Kumar Swami, Debapriya Maji, Kumar Desappan
Achieving the accuracy of two stage detectors using a single stage approach is important as single stage approaches are simpler to implement in embedded, real-time applications.
1 code implementation • 15 Mar 2016 • Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet
In this work we present a computational imaging framework using deep and ensemble learning for reliable detection of blood vessels in fundus color images.
no code implementations • 9 Mar 2016 • Anirban Santara, Debapriya Maji, DP Tejas, Pabitra Mitra, Arobinda Gupta
In this paper a synchronized parallel algorithm for pre-training deep networks on multi-core machines has been proposed.