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Boyang Peng

2 accepted papers

2025

OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models

NeurIPS 2025poster

In real-world environments, a well-designed model must be capable of handling dynamically evolving distributions, where both in-distribution (ID) and out-of-distribution (OOD) samples appear unpredictably and individually, making real-time adaptation particularly challenging. While open-set test-tim…

Cited by 0SourceScholar
2024

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

CVPR 2024poster

Deep learning has achieved remarkable progress in various applications heightening the importance of safeguarding the intellectual property (IP) of well-trained models. It entails not only authorizing usage but also ensuring the deployment of models in authorized data domains i.e. making models excl…