cvpr2026
CVPR-2026-WorldModel-Track-Model-Task1CVPR-2026-WorldModel-Track-Model-Task2CVPR-2026-WorldModel-Track-Model-Task7CVPR-2026-WorldModel-Track-Model-Task8CVPR-2026-WorldModel-Track-Model-Task4CVPR-2026-WorldModel-Track-Model-Task6CVPR-2026-WorldModel-Track-Model-Task5CVPR-2026-WorldModel-Track-Model-Task3
Datasets
All datasets matching “cvpr2026”THINGS-EEG-MEG_CVPR2026CVPR-2026CVPR-2026-WorldModel-Track-Dataset
GigaBrain Challenge 2026 (CVPR 2026 Workshop Competition)
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Resources
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Evaluation scripts
CVPR2026seqdataset-public
Auto-Annotation with Expert-Crafted Guidelines: A Study through 3D LiDAR Detection Benchmark
Inspired by the critical bottleneck of data annotation in autonomous driving and recent advancements in foundation models, this dataset introduces a novel evaluation paradigm: Auto-Annotation from Expert-Crafted Guidelines.
Unlike traditional 3D perception benchmarks that rely on massive amounts of annotated 3D point clouds for supervised learning, AutoExpert is designed to evaluate a… See the full description on the dataset page: https://huggingface.co/datasets/autoexpert-cvpr2026-workshop/dataset-public.
