Abstract: We introduce semantic overconfidence as the phenomenon where a model’s output probability remains invariant regardless of the presence or absence of a semantically strong but ...
Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...
Take a photo of your hand signing an ASL letter (A–J) and the app will detect the hand, draw landmarks, and display the predicted letter. Images are fed through MediaPipe's Hand Landmarker. 21 (x, y) ...
# https://github.com/google-research/vision_transformer#available-vit-models # cfg: vit-base-p16_ft-4xb544_in1k-224_ipu train model in fp16 precision # 8 epoch, 2176 ...
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