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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 1–10 of 147 papers

TitleStatusHype
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos—0
Multimodal Spatio-temporal Graph Learning for Alignment-free RGBT Video Object Detection—0
Context in object detection: a systematic literature review—0
Region Masking to Accelerate Video Processing on Neuromorphic Hardware—0
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
Estimation of Psychosocial Work Environment Exposures Through Video Object Detection. Proof of Concept Using CCTV Footage—0
Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark—0
FADE: A Dataset for Detecting Falling Objects around Buildings in VideoCode1
Practical Video Object Detection via Feature Selection and AggregationCode3
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