1 citations · 1 across the 5 of their papers we have counts for
5 papers
bi-modal textual prompt learning for vision-language models in remote sensing
Pankhi Kashyap, Mainak Singha, Biplab Banerjee
Prompt learning (PL) has emerged as an effective strategy to adapt vision-language models (VLMs), such as CLIP, for downstream tasks under limited supervision. While PL has demonst…
FALCON: Few-Shot Adversarial Learning for Cross-Domain Medical Image Segmentation
Abdur R. Fayjie, Pankhi Kashyap, Jutika Borah +1
Precise delineation of anatomical and pathological structures within 3D medical volumes is crucial for accurate diagnosis, effective surgical planning, and longitudinal disease mon…
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
Pankhi Kashyap, Pavni Tandon, Sunny Gupta +3
Long-tailed problems in healthcare emerge from data imbalance due to variability in the prevalence and representation of different medical conditions, warranting the requirement of…
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
Sunny Gupta, Mohit Jindal, Pankhi Kashyap +2
Federated learning faces a critical challenge in balancing communication efficiency with rapid convergence, especially for second-order methods. While Newton-type algorithms achiev…
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device
Pankhi Kashyap, Kajal Shivgan, Sheetal Patil +4
Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units (GPUs), various deep learning based models have been pr…