Video Object Detection
Video object detection is the task of detecting objects from a video as opposed to images.
( Image credit: Learning Motion Priors for Efficient Video Object Detection )
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
|
Greatest papers with code
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Models and examples built with TensorFlow
TSM: Temporal Shift Module for Efficient Video Understanding
ICCV 2019
• 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.
ACTION RECOGNITION IN VIDEOS VIDEO OBJECT DETECTION VIDEO RECOGNITION VIDEO UNDERSTANDING
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.
#3 best model for
Video Object Detection
on ImageNet VID
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.
Sequence Level Semantics Aggregation for Video Object Detection
ICCV 2019
• happywu/Sequence-Level-Semantics-Aggregation
•
In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.
Mobile Video Object Detection with Temporally-Aware Feature Maps
CVPR 2018
• vikrant7/mobile-vod-bottleneck-lstm
•
This paper introduces an online model for object detection in videos designed to run in real-time on low-powered mobile and embedded devices.
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.