IEEE

Foreign Object Recognition in Railway Switches via Masked Autoencoder and Hypersphere-Constrained Feature Learning

The safe and stable operation of railway switches directly determines the operational reliability of trains and the safety of passengers' lives and property. Foreign object intrusions in the railway ...
IEEE

Bridging Explainability and Accuracy in CLIP for Object Recognition via Joint Probability Over Rationales and Categories

Abstract: Large Vision Language Models (VLMs), such as CLIP, have significantly contributed to various computer vision tasks, including object recognition and object detection. However, their opaque ...
GitHub

3_Deep_Learning

Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Frontiers

An improved YOLOv10-based framework for knee MRI lesion detection with enhanced small object recognition and low contrast feature extraction

Rationale and objectives: To address the challenges in detecting anterior cruciate ligament (ACL) lesions in knee MRI examinations, including difficulties in identifying tiny lesions, insufficient ...