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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 91–100 of 147 papers

TitleStatusHype
Online Video Object Detection Using Association LSTM—0
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing—0
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams—0
Progressive Sparse Local Attention for Video object detection—0
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection—0
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection—0
SGE net: Video object detection with squeezed GRU and information entropy map—0
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation—0
Single Object Tracking Research: A Survey—0
SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles—0
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