Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...
Abstract: Class activation maps (CAMs) have emerged as a popular technique to improve model interpretability of deep learning-based models. While existing CAM methods are able to extract salient ...
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