113 citations · 162 across the 2 of their papers we have counts for
4 papers
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith +1
With the advancements made in deep learning, computer vision problems like object detection and segmentation have seen a great improvement in performance. However, in many real-wor…
Black-box Adversarial Attacks in Autonomous Vehicle Technology
K Naveen Kumar, C Vishnu, Reshmi Mitra +1
Despite the high quality performance of the deep neural network in real-world applications, they are susceptible to minor perturbations of adversarial attacks. This is mostly undet…
Defining Traffic States using Spatio-temporal Traffic Graphs
Debaditya Roy, K. Naveen Kumar, C. Krishna Mohan
Intersections are one of the main sources of congestion and hence, it is important to understand traffic behavior at intersections. Particularly, in developing countries with high…
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
Rajat Saini, Nandan Kumar Jha, Bedanta Das +2
The capability of the self-attention mechanism to model the long-range dependencies has catapulted its deployment in vision models. Unlike convolution operators, self-attention off…