Original paper
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
Published: Jan 1, 2016
Abstract
Given the vast amounts of video available online, and recent breakthroughs in object detection with static images, object detection in video offers a promising new frontier. However, motion blur and compression artifacts cause substantial frame-level variability, even in videos that appear smooth to the eye. Additionally, video datasets tend to have sparsely annotated frames. We present a new framework for improving object detection in videos...
Paper Details
Title
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
Published Date
Jan 1, 2016
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