Skip to content

WeiHongLee/Awesome-Multi-Domain-Multi-Task-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 

Repository files navigation

Multi-domain Multi-task Learning

Feel free to contact me or contribute if you find any interesting paper is missing!

Multi-task Learning

  • X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks (ECCV, 2022) [paper] [code]

  • X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation (ECCV, 2022) [paper]

  • The Missing Link: Finding label relations across datasets (ECCV, 2022) [paper]

  • OMNIVORE: A Single Model for Many Visual Modalities (CVPR, 2022) [paper] [code]

  • Multi-Task Self-Training for Learning General Representations (ICCV, 2021) [paper]

  • UniT: Multimodal Multitask Learning with a Unified Transformer (arXiv, 2021) [paper] [code]

Transfer Learning

  • Transferability Metrics for Selecting Source Model Ensembles (CVPR 2022) [paper]

  • Factors of influence for transfer learning across diverse appearance domains and task types (TPAMI, 2022) [paper]

Single-task Learning

Challenge

Image Classification

  • [Meta-dataset] Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples (ICLR, 2020) [paper] [dataset]

  • [Visual Domain Decathlon] Learning multiple visual domains with residual adapters (NeurIPS, 2017) [paper] [dataset]

Dense Prediction Tasks & Object Detection

2022

  • Learning Semantic Segmentation from Multiple Datasets with Label Shifts (ECCV, 2022) [paper] [code]

  • Simple Multi-dataset Detection (CVPR, 2022) [paper] [code]

  • Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding (CVPR, 2022) [paper]

  • FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation (CVPR, 2022) [paper] [code]

  • Multiple Adverse Weather Conditions Adaptation for Object Detection via Causal Intervention (TPAMI, 2022) [paper]

  • Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI, 2022) [paper] [code]

  • Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation (arXiv, 2022) [paper]

  • Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets (arXiv, 2022) [paper]

2021

  • Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation (WACV Workshop, 2021) [paper]

  • Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey (arXiv, 2021) [paper]

  • Geometric Unsupervised Domain Adaptation for Semantic Segmentation (ICCV, 2021) [paper]

  • Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions (ICCV Workshop, 2021) [paper]

  • Multi-weather city: Adverse weather stacking for autonomous driving (ICCV workshop, 2021) [paper]

  • DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation (CVPR, 2021) [paper] [code]

  • DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation (arXiv, 2021) [paper]

  • [MSeg] MSeg: A Composite Dataset for Multi-domain Semantic Segmentation (arXiv, 2021) (CVPR, 2020) [arXiv] [CVF] [code]

  • [Multi-head] Multi-Domain Semantic-Segmentation using Multi-Head Model (ITSC, 2021) [paper]

  • Semantic Segmentation on Multiple Visual Domains (arXiv, 2021) [paper]

2020 and Before

  • [BDD100K] BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning (CVPR, 2020) [paper]

  • Semantic Segmentation with Unsupervised Domain Adaptation Under Varying Weather Conditions for Autonomous Vehicles (Robotics and Automation Letters, 2020) [paper]

  • Object Detection with a Unified Label Space from Multiple Datasets (ECCV, 2020) [paper]

  • IDDA: a large-scale multi-domain dataset for autonomous driving (Robotics and Automation Letters, 2020) [paper] [dataset]

  • Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer (TPAMI, 2020) [paper]

  • Towards Universal Object Detection by Domain Attention (CVPR, 2019) [paper] [code]

  • Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion (arXiv, 2019) [paper]

  • Bridging the Day and Night Domain Gap for Semantic Segmentation (Symposium on Intelligent Vehicle, 2019) [paper]

  • Don’t Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation (arXiv, 2019) [paper]

  • Semantic Segmentation via Multi-task, Multi-domain Learning (S+SSPR, 2016) [paper]

Releases

No releases published

Packages

No packages published