31 citations · 42 across the 2 of their papers we have counts for
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cs.CV2021★ 31 cited
SeMask: Semantically Masked Transformers for Semantic Segmentation
Jitesh Jain, Anukriti Singh, Nikita Orlov +4
Finetuning a pretrained backbone in the encoder part of an image transformer network has been the traditional approach for the semantic segmentation task. However, such an approach…
cs.CV2021★ 11 cited
OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments
Anukriti Singh, Kartikeya Singh, P. B. Sujit
We present OffRoadTranSeg, the first end-to-end framework for semi-supervised segmentation in unstructured outdoor environment using transformers and automatic data selection for l…