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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 11–20 of 147 papers

TitleStatusHype
Eventful Transformers: Leveraging Temporal Redundancy in Vision TransformersCode1
FADE: A Dataset for Detecting Falling Objects around Buildings in VideoCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
Camera clustering for scalable stream-based active distillationCode1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
Few-Shot Video Object DetectionCode1
Fewer is More: Efficient Object Detection in Large Aerial ImagesCode1
FFAVOD: Feature Fusion Architecture for Video Object DetectionCode1
AI Accelerator Survey and TrendsCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
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