Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation
Abstract Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE)
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
[PDF][PDF] Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu, M Elhoseiny, C Claudel - ecva.net
Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE) is the
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
[PDF][PDF] Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu - European Conference on Computer Vision, 2022 - par.nsf.gov
Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE) is the
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu, M Elhoseiny… - European Conference on …, 2022 - dl.acm.org
Abstract Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE)
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
[PDF][PDF] Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu, M Elhoseiny… - arXiv preprint arXiv …, 2022 - academia.edu
Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE) is the
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu, M Elhoseiny… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Abstract Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE)
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu, M Elhoseiny, C Claudel - 2022 - repository.kaust.edu.sa
Abstract Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE)
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu, M Elhoseiny… - arXiv preprint arXiv …, 2022 - arxiv.org
Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE) is the
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
[PDF][PDF] Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
A Mohamed, D Zhu, W Vu - repository.kaust.edu.sa
Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE) is the
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …
most used metric for evaluating trajectory prediction models. Yet, the BoN does not quantify …