1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Robust Unsupervised Domain Adaptation Framework for Medical Image Classification Using RKHS-MMD
Sapna Sachan, Rakesh Kumar Sanodiya, Amulya Kumar Mahto
Labeling medical images is a major bottleneck in the field of medical imaging, as it requires domain-specific expertise, and it gets further complicated due to variability across d…
EMGTTL: Transformers-Based Transfer Learning for Classification of ADL using Raw Surface EMG Signals
Ashraf Ali Kareemulla, Rakesh Kumar Sanodiya, Anish Chand Turlapaty +1
Surface Electromyography (sEMG) is widely studied for its applications in rehabilitation, prosthetics, robotic arm control, and human-machine interaction. However, classifying Acti…
Context Unaware Knowledge Distillation for Image Retrieval
Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya +1
Existing data-dependent hashing methods use large backbone networks with millions of parameters and are computationally complex. Existing knowledge distillation methods use logits…
Frequency Disentangled Residual Network
Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey +2
Residual networks (ResNets) have been utilized for various computer vision and image processing applications. The residual connection improves the training of the network with bett…