Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images
Abstract: Object detection plays a crucial role in scene understanding and has extensive practical applications. In the field of remote sensing object detection, both detection accuracy and robustness ...
Note: this package is not 100% compatible with the CBOR specification. See the Not implemented section for more details.
Abstract: 3D object detection is a fundamental yet critical task for autonomous driving. In this paper, we investigate a novel self-distilling paradigm by proposing Self-distilling Introspective Data ...
Active Directory’s “dynamic objects” feature offers attackers a perfect evasion cloak. These objects automatically self-destruct without a trace, so they allow adversaries to bypass quotas, pollute ...
Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...
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