77 citations · 319 across the 11 of their papers we have counts for
11 papers
ArcGate: Adaptive Arctangent Gated Activation
Avik Bhattacharya, Siddhant Dnyanesh Gole, Subhasis Chaudhuri +2
Activation functions are central to deep networks, influencing non-linearity, feature learning, convergence, and robustness. This paper proposes the Adaptive Arctangent Gated Activ…
Joint Analysis of Optical and SAR Vegetation Indices for Vineyard Monitoring: Assessing Biomass Dynamics and Phenological Stages over Po Valley, Italy
Andrea Bergamaschi, Abhinav Verma, Avik Bhattacharya +1
Multi-polarized Synthetic Aperture Radar (SAR) technology has gained increasing attention in agriculture, offering unique capabilities for monitoring vegetation dynamics thanks to…
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
S Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri +1
We tackle the problem of class incremental learning (CIL) in the realm of landcover classification from optical remote sensing (RS) images in this paper. The paradigm of CIL has re…
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya
Classification of very high-resolution (VHR) aerial remote sensing (RS) images is a well-established research area in the remote sensing community as it provides valuable spatial i…
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya +1
We propose a novel framework for cross-modal zero-shot learning (ZSL) in the context of sketch-based image retrieval (SBIR). Conventionally, the SBIR schema mainly considers simult…
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya +1
Conventional existing retrieval methods in remote sensing (RS) are often based on a uni-modal data retrieval framework. In this work, we propose a novel inter-modal triplet-based z…