5 citations · 10 across the 3 of their papers we have counts for
3 papers
On-the-Fly Test-time Adaptation for Medical Image Segmentation
Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS +1
One major problem in deep learning-based solutions for medical imaging is the drop in performance when a model is tested on a data distribution different from the one that it is tr…
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
Vibashan VS, Domenick Poster, Suya You +2
Object detectors trained on large-scale RGB datasets are being extensively employed in real-world applications. However, these RGB-trained models suffer a performance drop under ad…
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Vibashan VS, Vikram Gupta, Poojan Oza +2
Existing approaches for unsupervised domain adaptive object detection perform feature alignment via adversarial training. While these methods achieve reasonable improvements in per…