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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 121–130 of 147 papers

TitleStatusHype
Progressive Sparse Local Attention for Video object detection—0
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks—0
Recurrent Neural Networks for video object detection—0
Recurrent Residual Module for Fast Inference in Videos—0
Region Masking to Accelerate Video Processing on Neuromorphic Hardware—0
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms—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
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