Sievenet: An Efficient Model Utilizing H.265 Codec Structure for Video Object Detection
Author:
Affiliation:
1. Istanbul Technical University Informatics Institute,Istanbul,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192576/10192577/10193722.pdf?arnumber=10193722
Reference24 articles.
1. Compressed Domain Moving Object Detection Based on CRF
2. Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection;li;Advances in neural information processing systems,2020
3. Moving object detection in the H.264/AVC compressed domain for video surveillance applications
4. Mmdetection: Open mmlab detection toolbox and benchmark;chen;ArXiv Preprint,2019
5. Fast object detection and segmentation in MPEG compressed domain
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