4 papers
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval
Rohit Agarwal, Gyanendra Das, Saksham Aggarwal +2
Image retrieval has garnered growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid…
On Designing Light-Weight Object Trackers through Network Pruning: Use CNNs or Transformers?
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu +4
Object trackers deployed on low-power devices need to be light-weight, however, most of the current state-of-the-art (SOTA) methods rely on using compute-heavy backbones built usin…
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal +2
Binarization is a powerful compression technique for neural networks, significantly reducing FLOPs, but often results in a significant drop in model performance. To address this is…
GPTs at Factify 2022: Prompt Aided Fact-Verification
Pawan Kumar Sahu, Saksham Aggarwal, Taneesh Gupta +1
One of the most pressing societal issues is the fight against false news. The false claims, as difficult as they are to expose, create a lot of damage. To tackle the problem, fact…