Public Datasets
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022 We introduce the largest synthetic dataset for autonomous driving to study continuous multi-task domain adaptation.
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Video Mask Transfiner for High-Quality Video Instance Segmentation
ECCV 2022 We introduce the HQ-YTVIS dataset as long as Tube-Boundary AP, which provides training, validation and testing support to facilitate future development of VIS methods aiming at higher mask quality.
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022 We introduce the largest synthetic dataset for autonomous driving to study continuous multi-task domain adaptation.
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
CVPR 2020 Oral The largest driving video dataset for heterogeneous multitask learning.
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
arXiv 2015 We propose to amplify human effort through a partially automated labeling scheme, leveraging deep learning with humans in the loop.
3D ShapeNets: A Deep Representation for Volumetric Shapes
CVPR 2015 Oral We propose to represent a geometric 3D shape as a probability distribution of binary variables on a 3D voxel grid.
ShapeNet: An Information-Rich 3D Model Repository
arXiv 2015 We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects.