Satyaki Chakraborty

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

"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. However, few-shot algorithms are important in multiple domains; hence evaluation needs to reflect the broad applications. We propose a Multi-d…