Mar 7, 2023 · The proposed PreFallKD transfers the detection knowledge from the pre-trained teacher model (vision transformer) to the student model ( ...

In this work, we propose a novel pre-impact fall detection via CNN-ViT knowledge distillation, namely. PreFallKD, to strike a balance between detection.

The proposed PreFallKD transfers the detection knowledge from the pre-trained teacher model (vision transformer) to the student model (lightweight convolutional ...

The primary objective of these studies is to minimize fall-related injuries and provide timely assistance to individuals at risk.

PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation ... The experiment results show that PreFallKD could boost the student model during the ...

Sep 21, 2024 · In this paper, we tackle the problem of how to transfer knowledge from a pre-trained, yet well-performing CNN-based model to train a compact Vision Transformer ...

Oct 14, 2023 · Prefallkd: Pre-impact fall detection via cnn-vit knowledge distillation. In Proceedings of the ICASSP 2023–2023 IEEE International ...

Prefallkd: Pre-impact fall detection via cnn-vit knowledge distillation. TH Chi, KC Liu, CY Hsieh, Y Tsao, CT Chan. ICASSP 2023-2023 IEEE International ...

PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation · 1 code implementation • 7 Mar 2023 • Tin-Han Chi, Kai-Chun Liu, Chia-Yeh ...

Jul 20, 2024 · Prefallkd: Pre-Impact Fall Detection Via CNN-ViT Knowledge Distillation. ICASSP 2023: 1-5. [c6]. view. electronic edition via DOI; unpaywalled ...