1 citations · 1 across the 3 of their papers we have counts for
3 papers
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya, Mainak Singha, Ankit Jha +1
We focus on domain and class generalization problems in analyzing optical remote sensing images, using the large-scale pre-trained vision-language model (VLM), CLIP. While contrast…
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya +3
Single-source open-domain generalization (SS-ODG) addresses the challenge of labeled source domains with supervision during training and unlabeled novel target domains during testi…
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation
Samayan Bhattacharya, Sk Shahnawaz, Avigyan Bhattacharya
Unets have become the standard method for semantic segmentation of medical images, along with fully convolutional networks (FCN). Unet++ was introduced as a variant of Unet, in ord…