BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Work
Year: 2018
Type: preprint
Abstract: Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving. Researchers are usuall... more
Source: arXiv (Cornell University)
Institutions Berkeley College, University of California, Berkeley, Cornell University, University of California, San Diego
Cites: 36
Cited by: 112
Related to: 10
Citation percentile (by year/subfield): 89.09
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green