5 papers
Detection of Virus and Small Cell Patches in Foci Images Using Switchable Convolution and Feature Pyramid Networks
Amrita Singh, Snehasis Mukherjee
Accurate detection and counting of virus patches in focus-forming unit (FFU) images, also known as foci images, are important for quantifying viral infection and analyzing cellular…
Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning
Vipul Arya, S. H. Shabbeer Basha, Srikrishna U N +2
Deep learning models, including Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), have achieved state-of-the-art performance on various computer vision tasks suc…
SCoDA: Self-supervised Continual Domain Adaptation
Chirayu Agrawal, Snehasis Mukherjee
Source-Free Domain Adaptation (SFDA) addresses the challenge of adapting a model to a target domain without access to the data of the source domain. Prevailing methods typically st…
Plantation Monitoring Using Drone Images: A Dataset and Performance Review
Yashwanth Karumanchi, Gudala Laxmi Prasanna, Snehasis Mukherjee +1
Automatic monitoring of tree plantations plays a crucial role in agriculture. Flawless monitoring of tree health helps farmers make informed decisions regarding their management by…
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters
Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja +3
The data-hungry approach of supervised classification drives the interest of the researchers toward unsupervised approaches, especially for problems such as medical image segmentat…