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Algorithm Details

New: WildDash 2 with 4256 public frames, new labels & panoptic GT!  
See also: RailSem19 dataset for rail scene understanding.

Challenge

WD2 Panoptic

Acronym

seamseg_rvcsubset

Method title

seamseg_rvcsubset

Method description

Seamless Scene Segmentation Resnet101, pretrained on Imagenet; supplied with altered MVD to include WildDash2 classes; does not contain other RVC label policies (i.e. no COCO-specific classes; rvcsubset and not a proper submission)
Trained by Oliver Zendel as an RVC baseline

Training data

altered MVD to include WildDash2 classes

Additional data

Source code

Publication

Title

Seamless Scene Segmentation

Authors

Porzi, Lorenzo and Rota Bulò, Samuel and Colovic, Aleksander and Kontschieder, Peter

Conference

CVPR 2019

BibTex

@InProceedings{Porzi_2019_CVPR,
author = {Porzi, Lorenzo and Rota Bul\`o, Samuel and Colovic, Aleksander and Kontschieder, Peter},
title = {Seamless Scene Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}