2 citations · 2 across the 6 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2024★ 2 cited
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari +3
There has been abundant work in unsupervised domain adaptation for semantic segmentation (DAS) seeking to adapt a model trained on images from a labeled source domain to an unlabel…
cs.CV2023
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
Using multiple spatial modalities has been proven helpful in improving semantic segmentation performance. However, there are several real-world challenges that have yet to be addre…
cs.CV2022
Performance degradation of ImageNet trained models by simple image transformations
Harsh Maheshwari
ImageNet trained PyTorch models are generally preferred as the off-the-shelf models for direct use or for initialisation in most computer vision tasks. In this paper, we simply tes…