1 citations · 1 across the 7 of their papers we have counts for
4 papers · 2 filters
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar
The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segment…
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…
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation
Chanda Grover Kamra, Indra Deep Mastan, Nitin Kumar +1
Recent developments in self-supervised learning (SSL) have made it possible to learn data representations without the need for annotations. Inspired by the non-contrastive SSL appr…
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks
Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja +2
Image segmentation, the process of partitioning an image into meaningful regions, plays a pivotal role in computer vision and medical imaging applications. Unsupervised segmentatio…