Search Results for author: Dichao Liu

Found 4 papers, 4 papers with code

Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition

1 code implementation25 Jan 2024 Dichao Liu

The PMAL framework achieves high recognition accuracy by treating image denoising as an additional task in image recognition and progressively forcing a model to learn noise invariance.

Image Denoising

Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer

1 code implementation9 Feb 2023 Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase, Jien Kato

Experimental results on the Statefarm Distracted Driver Detection Dataset and AUC Distracted Driver Dataset show that the proposed approach is highly effective for recognizing distracted driving behaviors from photos: (1) the teacher network's accuracy surpasses the previous best accuracy; (2) the student network achieves very high accuracy with only 0. 42M parameters (around 55% of the previous most lightweight model).

Knowledge Distillation Neural Architecture Search +1

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