31 citations · 85 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images
Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur +4
Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, chal…
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba +1
Gradient based meta-learning methods are prone to overfit on the meta-training set, and this behaviour is more prominent with large and complex networks. Moreover, large networks r…