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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 61–70 of 147 papers

TitleStatusHype
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection—0
Delta Distillation for Efficient Video ProcessingCode0
TransVOD: End-to-End Video Object Detection with Spatial-Temporal TransformersCode2
SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles—0
Virtuoso: Video-based Intelligence for real-time tuning on SOCs—0
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in VideoCode1
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation—0
AI Accelerator Survey and TrendsCode1
FFAVOD: Feature Fusion Architecture for Video Object DetectionCode1
Temporal RoI Align for Video Object Recognition—0
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