Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation

no code implementations • 16 Jan 2024 • Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin, Jeng-Lin Li, Ming-Ching Chang

Existing segmentation models relying on extensive annotations are impractical in real-world scenarios with limited annotated data.

Segmentation

Domain-Generalized Textured Surface Anomaly Detection

no code implementations • 23 Mar 2022 • Shang-Fu Chen, Yu-Min Liu, Chia-Ching Lin, Trista Pei-Chun Chen, Yu-Chiang Frank Wang

By observing normal and abnormal surface data across multiple source domains, our model is expected to be generalized to an unseen textured surface of interest, in which only a small number of normal data can be observed during testing.

Anomaly Detection Domain Generalization +1

A Detailed Look At CNN-based Approaches In Facial Landmark Detection

1 code implementation • 8 May 2020 • Chih-Fan Hsu, Chia-Ching Lin, Ting-Yang Hung, Chin-Laung Lei, Kuan-Ta Chen

To the best of our knowledge, using the PWC model to detect facial landmarks have not been comprehensively studied.

Facial Landmark Detection

TESLA: Task-wise Early Stopping and Loss Aggregation for Dynamic Neural Network Inference

no code implementations • ICLR 2018 • Chun-Min Chang, Chia-Ching Lin, Hung-Yi Ou Yang, Chin-Laung Lei, Kuan-Ta Chen

Besides, TESLA is applied to the VGG-16 model, which achieves 80\% accuracy using only 20\% of dot product terms on CIFAR-10 and also keeps 60\% accuracy using only 30\% of dot product terms on CIFAR-100, but the original IDP performs like a random guess in these two datasets at such low computation costs.