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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 41–50 of 147 papers

TitleStatusHype
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature AggregationCode1
Fewer is More: Efficient Object Detection in Large Aerial ImagesCode1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
Few-Shot Video Object DetectionCode1
FFAVOD: Feature Fusion Architecture for Video Object DetectionCode1
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
Dual Semantic Fusion Network for Video Object Detection—0
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection—0
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection—0
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection—0
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