Pushing the Envelope of Thin Crack Detection

no code implementations • 9 Jan 2021 • Liang Xu, Taro Hatsutani, Xing Liu, Engkarat Techapanurak, Han Zou, Takayuki Okatani

We experimentally show that this makes it possible to detect cracks from an image of one-third the resolution of images used for annotation with about the same accuracy.

Bridging In- and Out-of-distribution Samples for Their Better Discriminability

no code implementations • 7 Jan 2021 • Engkarat Techapanurak, Anh-Chuong Dang, Takayuki Okatani

We estimate where the generated samples by a single image transformation lie between ID and OOD using a network trained on clean ID samples.

Out of Distribution (OOD) Detection

Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification

no code implementations • 7 Jan 2021 • Engkarat Techapanurak, Takayuki Okatani

We reconsider the evaluation of OOD detection methods for image recognition.

General Classification Out-of-Distribution Detection +1

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

1 code implementation • 25 May 2019 • Engkarat Techapanurak, Masanori Suganuma, Takayuki Okatani

The ability to detect out-of-distribution (OOD) samples is vital to secure the reliability of deep neural networks in real-world applications.

Metric Learning Out-of-Distribution Detection