most citedDeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2024★ 1 cited

DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets

Harsh Rangwani, Pradipto Mondal, Mayank Mishra +2

Vision Transformer (ViT) has emerged as a prominent architecture for various computer vision tasks. In ViT, we divide the input image into patch tokens and process them through a s…

cs.CV2023

Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation

Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri +3

Conventional Domain Adaptation (DA) methods aim to learn domain-invariant feature representations to improve the target adaptation performance. However, we motivate that domain-spe…