Video Object Detection
66 papers with code • 7 benchmarks • 10 datasets
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 )
Benchmarks
These leaderboards are used to track progress in Video Object Detection
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Libraries
Use these libraries to find Video Object Detection models and implementationsDatasets
Waymo Open Dataset
EPIC-KITCHENS-55
ImageNet VID
YT-BB
OAK
THGP
VISEM-Tracking
Most implemented papers
Road User Detection in Videos
Two new models, RetinaNet-Double and RetinaNet-Flow, are proposed, based respectively on the concatenation of a target frame with a preceding frame, and the concatenation of the optical flow with the target frame.
Do Image Classifiers Generalize Across Time?
yueatsprograms/ttt_imagenet_release
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ICCV 2021
Additionally, we evaluate three detection models and show that natural perturbations induce both classification as well as localization errors, leading to a median drop in detection mAP of 14 points.
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
JeffCHEN2017/WSSTG
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ACL 2019
In this paper, we address a novel task, namely weakly-supervised spatio-temporally grounding natural sentence in video.
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.
Learning Where to Focus for Efficient Video Object Detection
jiangzhengkai/LSTS
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ECCV 2020
Transferring existing image-based detectors to the video is non-trivial since the quality of frames is always deteriorated by part occlusion, rare pose, and motion blur.
Argus: Efficient Activity Detection System for Extended Video Analysis
JunweiLiang/Object_Detection_Tracking
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Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops 2020
We propose an Efficient Activity Detection System, Argus, for Extended Video Analysis in the surveillance scenario.
RN-VID: A Feature Fusion Architecture for Video Object Detection
Consecutive frames in a video are highly redundant.
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
In this paper, we propose an end-to-end online 3D video object detector that operates on point cloud sequences.
Robust and efficient post-processing for video object detection
AlbertoSabater/Robust-and-efficient-post-processing-for-video-object-detection
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Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks.
Robust and Efficient Post-Processing for Video Object Detection (REPP)
AlbertoSabater/Robust-and-efficient-post-processing-for-video-object-detection
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Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks.
