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Feb, 2024
STF:时空融合模块提升视频目标检测
STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
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Noreen Anwar, Guillaume-Alexandre Bilodeau, Wassim Bouachir
TL;DR
通过利用视频中连续帧的冗余和相关的互补信息,我们提出了一个时空融合框架,其中包括多帧和单帧关注模块,以及可学习地合并特征图以改进物体检测性能的双帧融合模块。实验证明,该融合模块相比基线物体检测器能够提高检测性能。
Abstract
consecutive frames
in a video contain redundancy, but they may also contain relevant
complementary information
for the detection task. The objective of our work is to leverage this
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