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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 21–30 of 147 papers

TitleStatusHype
End-to-End Video Object Detection with Spatial-Temporal TransformersCode1
FFAVOD: Feature Fusion Architecture for Video Object DetectionCode1
MAMBA: Multi-level Aggregation via Memory Bank for Video Object DetectionCode1
Memory Enhanced Global-Local Aggregation for Video Object DetectionCode1
Motion Vector Extrapolation for Video Object DetectionCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
Efficient One-stage Video Object Detection by Exploiting Temporal ConsistencyCode1
Emerging Properties in Self-Supervised Vision TransformersCode1
3D Video Object Detection with Learnable Object-Centric Global OptimizationCode1
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