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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 )

Papers

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Showing 101–125 of 147 papers

TitleStatusHype
Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions—0
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection—0
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving—0
Survey of Machine Learning Accelerators—0
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving—0
Temporal Coherence for Active Learning in Videos—0
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection—0
Temporal Early Exits for Efficient Video Object Detection—0
TemporalNet: Real-time 2D-3D Video Object Detection—0
Temporal RoI Align for Video Object Recognition—0
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection—0
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method—0
Towards High Performance Video Object Detection—0
Traffic Video Object Detection using Motion Prior—0
TransFlow: Transformer as Flow Learner—0
Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark—0
Video Object Detection via Object-level Temporal Aggregation—0
Virtuoso: Video-based Intelligence for real-time tuning on SOCs—0
XS-VID: An Extremely Small Video Object Detection Dataset—0
0-1 laws for pattern occurrences in phylogenetic trees and networks—0
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms—0
QueryProp: Object Query Propagation for High-Performance Video Object DetectionCode0
Transferable Adversarial Attacks for Image and Video Object DetectionCode0
RN-VID: A Feature Fusion Architecture for Video Object DetectionCode0
Road User Detection in VideosCode0
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