Abstract: To accurately detect multi-scale targets in complex traffic scenarios, traditional Transformer-based object detection models require excessive computational resource consumption due to a ...

Abstract: Out-of-distribution (OoD) inputs pose a persistent challenge to deep learning models, often triggering overconfident predictions on non-target objects. While prior work has primarily focused ...

But only Chinese version is available currently. If you want an English version, please open an issue for it. At least let me know you are interested in my project :D The project is not stable yet.

. ├── app.py # Main FastAPI web application (Image/Video/Streaming modes) ├── benchmark_fps.py # FPS benchmark script for SAM2 inference ...