Titlebook: Computer Vision – ECCV 2020 Workshops; Glasgow, UK, August Adrien Bartoli,Andrea Fusiello Conference proceedings 2020 Springer Nature Swit

Fretful

Generalized Many-Way Few-Shot Video Classificationarities, yielding further improvement. Our results saturate current 5-way benchmarks for few-shot video classification and therefore we propose a new challenging benchmark involving more classes and a mixture of classes with varying supervision.

Ostrich

0302-9743 e 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic..The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proc

言行自由

Felling the Forest for the Trees? association process and leverages the individual strengths of each expert detector to create a final set of detections with a meaningful spatial and semantic uncertainty. Our approach placed first place in the 3rd Probabilistic Object Detection Challenge with a PDQ of 22.848.

柔声地说

Innovation und Entrepreneurshipo catastrophic consequences. We introduce an approach that employs deep ensembles for estimating predictive uncertainty. The proposed framework achieved 4th place in the ECCV 2020 ACRV Robotic Vision Challenge on Probabilistic Object Detection.

针叶树

敬礼

Probabilistic Object Detection via Deep Ensembleso catastrophic consequences. We introduce an approach that employs deep ensembles for estimating predictive uncertainty. The proposed framework achieved 4th place in the ECCV 2020 ACRV Robotic Vision Challenge on Probabilistic Object Detection.

的阐明

变形

constitutional

要素