37 citations · 64 across the 29 of their papers we have counts for
7 papers · 1 filter
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage
Haris Iqbal, Hemang Chawla, Arnav Varma +4
Road infrastructure maintenance inspection is typically a labor-intensive and critical task to ensure the safety of all road users. Existing state-of-the-art techniques in Artifici…
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
Naresh Kumar Gurulingan, Elahe Arani, Bahram Zonooz
Multi-task learning of dense prediction tasks, by sharing both the encoder and decoder, as opposed to sharing only the encoder, provides an attractive front to increase both accura…
Differencing based Self-supervised pretraining for Scene Change Detection
Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz
Scene change detection (SCD), a crucial perception task, identifies changes by comparing scenes captured at different times. SCD is challenging due to noisy changes in illumination…
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach
Prashant Bhat, Bahram Zonooz, Elahe Arani
Continual learning (CL) over non-stationary data streams remains one of the long-standing challenges in deep neural networks (DNNs) as they are prone to catastrophic forgetting. CL…
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Bhat, Bahram Zonooz, Elahe Arani
Deep neural networks struggle to continually learn multiple sequential tasks due to catastrophic forgetting of previously learned tasks. Rehearsal-based methods which explicitly st…
A Comprehensive Study of Vision Transformers on Dense Prediction Tasks
Kishaan Jeeveswaran, Senthilkumar Kathiresan, Arnav Varma +3
Convolutional Neural Networks (CNNs), architectures consisting of convolutional layers, have been the standard choice in vision tasks. Recent studies have shown that Vision Transfo…