CVPR 2022 SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation — Pagall

CVPR 2022 SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

Click a thumbnail to watch in a lightweight modal. (No downloads — view only.)

CVPR 2022 SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
CVPR 2022 SHIFT: A Synthetic Driving Dataset for Continuous Multi Task Domain Adaptation
CVPR 2022 SHIFT Dataset -
CVPR 2022 SHIFT Dataset Teaser
Learning Distinctive Margin Toward Active Domain Adaptation | CVPR 2022
Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation
CVPR 2022 - Task Adaptive Parameter Sharing
CVPR 2022 Task Adaptive Parameter Sharing
CyCADA | Lecture 71 | Applied Deep Learning
CyCADA Lecture 71 (Part 3) Applied Deep Learning (Supplementary)
CVPR2022 BLA
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation
Self-Supervised Keypoint Discovery in Behavioral Videos
Self Supervised Keypoint Discovery in Behavioral Videos (CVPR 2022)
Proto2Proto: Can you recognize the car, the way I do?
[CVPR 2022] Proto2Proto: Can you recognize the car the way I do?
Equivariance Allows Handling Multiple Nuisance Variables
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation
Introduction
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation
DINE: Domain Adaptation From Single and Multiple Black Box Predictors | CVPR 2022
DINE: Domain Adaptation From Single and Multiple Black Box Predictors CVPR 2022
Challenge - Argoverse
[CVPR'22 WAD] Challenge Argoverse
Replacing Labeled Real-image Datasets with Auto-generated Contours
(CVPR 2022) Replacing Labeled Real image Datasets with Auto generated Contours
Pixel-Level Domain Adaptation | Lecture 71 | Applied Deep Learning
Pixel Level Domain Adaptation Lecture 71 (Part 2) Applied Deep Learning (Supplementary)
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
[CVPR 2022] Eigenlanes: Data Driven Lane Descriptors for Structurally Diverse Lanes
Feature Domain Adaptation from Real to Synthetic Domain
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation
DUA: Dynamic Unsupervised Adaptation
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation
Incremental Adversarial Domain Adaptation for Continually Changing Environments
CVPR 2022 SHIFT: A Synthetic Driving Dataset For Continuous Multi-Task Domain Adaptation