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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 91–100 of 147 papers

TitleStatusHype
Robust and efficient post-processing for video object detectionCode1
Feature Flow: In-network Feature Flow Estimation for Video Object Detection—0
Dual Semantic Fusion Network for Video Object Detection—0
Survey of Machine Learning Accelerators—0
CenterNet Heatmap Propagation for Real-time Video Object Detection—0
Mining Inter-Video Proposal Relations for Video Object DetectionCode1
Video Object Detection via Object-level Temporal Aggregation—0
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer AttentionCode1
Memory Enhanced Global-Local Aggregation for Video Object DetectionCode1
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