computer-vision
Multiple Object Forecasting
3260 papers • 126 benchmarks • 313 datasets
( Image credit: Multiple Object Forecasting )
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Benchmarks
These leaderboards are used to track progress in multiple-object-forecasting
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Citywalks
Citywalks
Libraries
iUse these libraries to find multiple-object-forecasting models and implementations
Datasets
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Most implemented papers
Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments
T. Guha, Olly Styles, Victor Sanchez•Wed Sep 25 2019
The problem of multiple object forecasting (MOF), in which the goal is to predict future bounding boxes of tracked objects, is introduced and a novel encoder-decoder architecture, STED, is presented, which combines visual and temporal features to model both object-motion and ego-motion, and outperforms existing approaches for MOF.
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