38 citations · 72 across the 8 of their papers we have counts for
8 papers
Use Your Head: Improving Long-Tail Video Recognition
Toby Perrett, Saptarshi Sinha, Tilo Burghardt +2
This paper presents an investigation into long-tail video recognition. We demonstrate that, unlike naturally-collected video datasets and existing long-tail image benchmarks, curre…
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…
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Saptarshi Sinha, Hiroki Ohashi, Katsuyuki Nakamura
Long-tailed datasets are very frequently encountered in real-world use cases where few classes or categories (known as majority or head classes) have higher number of data samples…
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…
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…
Mass testing and proactiveness affect epidemic spreading
Saptarshi Sinha, Deep Nath, Soumen Roy
The detection and management of diseases become quite complicated when pathogens contain asymptomatic phenotypes amongst their ranks, as evident during the recent COVID-19 pandemic…
Topology dependent payoffs can lead to escape from prisoner's dilemma
Saptarshi Sinha, Deep Nath, Soumen Roy
The maintenance of cooperation in the presence of spatial restrictions has been studied extensively. It is well-established that the underlying graph topology can significantly inf…
Slow poisoning and destruction of networks: Edge proximity and its implications for biological and infrastructure networks
Soumya Jyoti Banerjee, Saptarshi Sinha, Soumen Roy
We propose a network metric, edge proximity, , which demonstrates the importance of specific edges in a network, hitherto not captured by existing network metrics. The…