Overview

Selected Publications

2024
Anomaly Detection Based on Semi-Formula Driven Pre-training Dataset to Represent Subtle Difference and Anomaly Score First Author Acceptance Rate: 25.78%
Hiroki Kobayashi, Naoki Murakami, Naoto Hiramatsu, Takahiro Suzuki, Manabu Hashimoto
BMVC2024
2023
DRepT: Anomaly Detection Based on Transfer of Defect Representation with Transmittance Mask First Author Acceptance Rate: 54.76%
Hiroki Kobayashi, Manabu Hashimoto
IJCNN2023
PyTorch C++ Samples
Open Source · C++ · LibTorch

PyTorch C++ Samples

A large-scale open-source project for deep learning implementations in C++ using LibTorch. Covers image classification, object detection, generative models, and a wide range of modern deep learning architectures.

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