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Kartik Sarangmath

2 accepted papers

2023

Benchmarking Low-Shot Robustness to Natural Distribution Shifts

ICCV 2023poster

Robustness to natural distribution shifts has seen remarkable progress thanks to recent pre-training strategies combined with better fine-tuning methods. However, such fine-tuning assumes access to large amounts of labelled data, and the extent to which the observations hold when the amount of train…

Cited by 3PDFcodeScholar
2023

PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

ICCV 2023poster

Synthetic data offers the promise of cheap and bountiful training data for settings where labeled real-world data is scarce. However, models trained on synthetic data significantly underperform when evaluated on real-world data. In this paper, we propose Proportional Amplitude Spectrum Training Augm…

Cited by 30PDFcodeScholar