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cs.CV2023
Sanity Checks for Saliency Methods Explaining Object Detectors
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga +1
Saliency methods are frequently used to explain Deep Neural Network-based models. Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain…
cs.CV2023
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Chakravarthi Padmanabhan, Shruthi Gowda, Elahe Arani +1
Few-shot learning (FSL) techniques seek to learn the underlying patterns in data using fewer samples, analogous to how humans learn from limited experience. In this limited-data sc…