3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 3 cited
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha, Hiroki Ohashi
Long-tailed datasets, where head classes comprise much more training samples than tail classes, cause recognition models to get biased towards the head classes. Weighted loss is on…
physics.soc-ph2021
Scale-free networks may not necessarily witness cooperation
Deep Nath, Saptarshi Sinha, Soumen Roy
Networks with a scale-free degree distribution are widely thought to promote cooperation in various games. Herein, by studying the well-known prisoner's dilemma game, we demonstrat…
cs.CV2020★ 2 cited
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Saptarshi Sinha, Hiroki Ohashi, Katsuyuki Nakamura
Class-imbalance is one of the major challenges in real world datasets, where a few classes (called majority classes) constitute much more data samples than the rest (called minorit…