Search Results for author: Onkar Dabeer

Found 6 papers, 3 papers with code

Guided Recommendation for Model Fine-Tuning

no code implementations CVPR 2023 Hao Li, Charless Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto

With thousands of historical training jobs, a recommendation system can be learned to predict the model selection score given the features of the dataset and the model as input.

Model Selection Transfer Learning

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

1 code implementation22 Jul 2022 Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer

Most existing works on few-shot object detection (FSOD) focus on a setting where both pre-training and few-shot learning datasets are from a similar domain.

Few-Shot Learning Few-Shot Object Detection +1

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