Video Object Detection
Video object detection is the task of detecting objects from a video as opposed to images.
State-of-the-art leaderboards
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Greatest papers with code
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Models and examples built with TensorFlow
Flow-Guided Feature Aggregation for Video Object Detection
ICCV 2017
• msracver/Flow-Guided-Feature-Aggregation
• 
The accuracy of detection suffers from degenerated object appearances in videos, e. g., motion blur, video defocus, rare poses, etc.
#2 best model for
Video Object Detection
on ImageNet VID
TSM: Temporal Shift Module for Efficient Video Understanding
• MIT-HAN-LAB/temporal-shift-module
• 
The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost.
VIDEO OBJECT DETECTION VIDEO RECOGNITION VIDEO UNDERSTANDING
Optimizing Video Object Detection via a Scale-Time Lattice
CVPR 2018
• guanfuchen/video_obj
•
High-performance object detection relies on expensive convolutional networks to compute features, often leading to significant challenges in applications, e. g. those that require detecting objects from video streams in real time.
Towards High Performance Video Object Detection for Mobiles
• stanlee321/LightFlow-Keras
• 
In this paper, we present a light weight network architecture for video object detection on mobiles.
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
Average precision (AP) is a widely used metric to evaluate detection accuracy of image and video object detectors.