This repository contains the code for re-producing the experiments of the paper "Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework" to be presented at IEEE IV 2023.

This is the official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions. Authors: Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia. Install PyTorch and torch vision. We ...

Abstract: This case study shows the initial results of aiming for reducing the cost, man-hours, and safety risks involved with the external structural inspection process of wind turbines using a fully ...

Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...