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Robust and efficient post-processing for video object detection
[article]
2020
arXiv
pre-print
Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks. Object recognition using video data is more challenging than using still images due to blur, occlusions or rare object poses. Specific video detectors with high computational cost or standard image detectors together with a fast post-processing algorithm achieve the current state-of-the-art. This work introduces a novel
arXiv:2009.11050v1
fatcat:phfojhzfdza3tfxj4xwatt4vou