1 code implementation • ICML 2023 • Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu
We present a shape-guided expert-learning framework to tackle the problem of unsupervised 3D anomaly detection.
Ranked #1 on 3D Anomaly Detection and Segmentation on MVTEC 3D-AD
3D Anomaly Detection 3D Anomaly Detection and Segmentation +2
1 code implementation • 13 Apr 2021 • Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang
Based on this insight, we develop DropLoss -- a novel adaptive loss to compensate for this imbalance without a trade-off between rare and frequent categories.
2 code implementations • NeurIPS 2019 • Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu
This paper aims to tackle the challenging problem of one-shot object detection.
Ranked #3 on One-Shot Object Detection on MS COCO