33 citations · 42 across the 13 of their papers we have counts for
4 papers · 1 filter
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs
Vidhya Kamakshi, Uday Gupta, Narayanan C Krishnan
Deep CNNs, though have achieved the state of the art performance in image classification tasks, remain a black-box to a human using them. There is a growing interest in explaining…
Wheat Crop Yield Prediction Using Deep LSTM Model
Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan
An in-season early crop yield forecast before harvest can benefit the farmers to improve the production and enable various agencies to devise plans accordingly. We introduce a reli…
Semantically Aligned Bias Reducing Zero Shot Learning
Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
Zero shot learning (ZSL) aims to recognize unseen classes by exploiting semantic relationships between seen and unseen classes. Two major problems faced by ZSL algorithms are the h…
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)
Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani +1
Learning from different modalities is a challenging task. In this paper, we look at the challenging problem of cross modal face verification and recognition between caricature and…