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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 71–80 of 147 papers

TitleStatusHype
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection—0
Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In CricketCode0
Unifying Tracking and Image-Video Object Detection—0
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection—0
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection—0
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection—0
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection—0
TemporalNet: Real-time 2D-3D Video Object Detection—0
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks—0
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