search

OpenDriveLab / OccNet

[ICCV 2023] OccNet: Scene as Occupancy
https://arxiv.org/abs/2306.02851
Apache License 2.0
526 stars 47 forks source link

Question about the motivation of OccNet dataset #6

Closed haiphamcse closed 1 year ago

haiphamcse commented 1 year ago

Hi there, firstly thank you to your team for contributing significant work for the community. I want to ask about the motivation for your dataset, compared to others such as Occ3D[1], OpenOccupancy[2]. I see that your dataset only annotate 16 classes + 1 unknown class. As i'm aware the unknown class contains free space and some long tail classes in nuscene-lidarseg (animals, firetruck, etc). Why do your team choose this approach compared to seperating long tail classes to general objects (GO) and a different free class. Best regards. [1] Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving [2] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

ChonghaoSima commented 1 year ago

We leave the unknown class to be discussed in detail in the future, in the form of open-vocabulary occupancy.