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awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
https://github.com/zhaoxin94/awesome-domain-adaptation
Last synced: 3 days ago
JSON representation
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Survey
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Theory
- [22 Feb 2021
- [3 Oct 2019
- [arXiv 15 Nov 2018
- [ICML2019
- [ICML2019 - Learning-Invariant-Representations-for-Domain-Adaptation)
- [AAAI2019
- [NIPS2007
- [NIPS2006
- [ACHA2021
- [AMAI2020
- [ML2010
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [TPAMI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [NeurIPS 2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
- [AMAI2020
-
Unsupervised DA
-
Adversarial Methods
- [CVPR2022
- [ICML2022 - iisc/SDAT)
- [NeurIPS2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [CVPR2021
- [CVPR2021
- [IJCAI2020
- [ECCV Workshop 2020
- [ECCV2020 - CV/FADA)
- [ECCV2020
- [CVPR2020
- [ICML2020
- [AAAI2020
- [AAAI2020
- [AAAI2020
- [AAAI2020 - AAAI2020)
- [AAAI2020
- [BMVC2019 - lab-iitk.github.io/CD3A/)
- [IJCNN2019 - adaptation-capls)
- [ICDM2019
- [ACM MM2019
- [IJCAI2019 - Group/DSR)
- [ICML2019 - Spectral-Penalization)
- [ICML2019 - Adversarial-Training)
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [CVPR2019 - lab-iitk.github.io/CADA/)
- [CVPR2019
- [CVPR2019
- [CVPR2019 Oral
- [CVPR2019
- [CVPR2019
- [IJCNN2019
- [AAAI2019
- [AAAI2019
- [AAAI2019
- [ICLR2019
- [NIPS2018
- [ECCV2018
- [ECCV2018
- [ICML2018 - Push/Moving-Semantic-Transfer-Network)
- [ICML2018
- [CVPR2018 - SBADA-GAN)
- [CVPR2018
- [CVPR2018 - tokyo/MCD_DA)
- [CVPR2018 - feature-augmentation)
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [AAAI2018
- [AAAI2018 - domain-adaptation)
- [ICLR2018
- [ICLR2018 Poster - t)
- [NIPS2017
- [CVPR2017 - adda)
- [CVPR2017
- [NIPS2016
- [ECCV2016
- [JMLR2016
- [ICML2015
- [IEEE ACCESS
- [12 Feb 2020
- [19 Feb 2020
- [10 Dec 2019
- [23 Oct 2019
- [25 Sep 2019
- [arXiv 13 Sep 2019
- [arXiv 11 Jun 2019
- [arXiv 10 Jun 2019
- [arXiv 28 May 2019
- [arXiv 30 Nov 2018
- [arXiv 17 Feb 2019
- [arXiv 30 Dec 2018
- [arXiv 2 Dec 2018
- [arXiv 10 Oct 2018
- [arXiv 10 Sep 2018
- [arXiv 6 Jul 2018 - ADDA)
- [arXiv 4 Jun 2018
- [arXiv 21 May 2018
- [arXiv 25 Apr 2018
- [arXiv 28 Jun 2018
- [CVPR2019 Oral
- [ICRA2018
- [25 Oct 2019
- [ICASSP 2020
- [CoRL2020
- [ECCV Workshop 2020
- [ECCV2020
- [NeurIPS 2023
- [BMVC2019 - lab-iitk.github.io/CD3A/)
-
Other Methods
- [ICLR2018
- [ICLR2018 - entropy-correlation-alignment)
- [ICCV2017 - atda)
- [ICCV2017
- [ICML2017 - ut/atda)
- [ECCV2022
- [ACCV2022 - Xiaodong1899/LeCo_UDA)
- [NeurIPS2021
- [NeurIPS2021
- [NeurIPS2021
- [NeurIPS2021
- [NeurIPS2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021 - yz/DA_visualization)
- [CVPR2021 - DA)
- [CVPR2021 - DA/DDA)
- [CVPR2021 - DA/TSA)
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [NeurIPS 2020
- [NeurIPS2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020 - lab/PS-VAEs)
- [ECCV2020 - Propagation-with-Augmented-Anchors)
- [CVPR2020 Oral - CVPR2020)
- [CVPR2020 Oral
- [CVPR2020
- [CVPR2020 - XGU/RSDA)
- [CVPR2020
- [CVPR2020
- [CVPR2020 - Domain-Adaptation)
- [ICLR2020
- [AAAI2020
- [Paper
- [AAAI2020 - adaptation-capls)
- [ICDM2019
- [ICML2019
- [ICCV2019
- [ICCV2019 - Whitening)
- [ICCV2019 Oral
- [ICCV2019
- [CVPR2019(Oral)
- [CVPR2019
- [CVPR 2019 - domain-adaptation)
- [CVPR2019
- [CVPR2019
- [CVPR2019 - lab.github.io/GPDA/)
- [CVPR2019 - prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation)
- [CVPR2019
- [CVPRW2019
- [IJCAI2019
- [ICLR2019
- [NIPS2018
- [TIP 2018
- [ECCV2018
- [CVPR2018
- [AAAI2018
- [ICLR2018 - to-cluster/) [[Pytorch]](https://github.com/GT-RIPL/L2C)
- [NIPS2016
- [IEEE TMI 2020 - Classification-UDA)
- [Pattern Recognition(2018)
- [IEEE ACCESS
- [6 Feb 2022
- [21 Nov 2019
- [28 Oct 2019
- [arXiv 30 May 2019
- [arXiv on 24 May 2019
- [arXiv 26 May 2019
- [arXiv 13 Apr 2019
- [arXiv 2 Apr 2019
- [arXiv 30 Jan 2019
- [arXiv 22 Jan 2019
- [arXiv 17 Nov 2018
- [CVPR2020
- [NeurIPS 2020
- [ECCV2020 - Propagation-with-Augmented-Anchors)
-
Self-training-Based Methods
- [NeurIPS2021
- [NeurIPS 2020
- [ECCV2020
- [arXiv 20211 - Contrastive-Learning)
- [arXiv 2021
- [ICCV Workshop 2021 - ai-cz/Meta-SelfLearning)
- [ECCV 2020 - ai-cz/IAST-ECCV2020)
- [arXiv 2021
-
Distance-based Methods
-
Information-based Methods
-
Optimal Transport
-
Semi-Supervised-Learning-Based Methods
-
Self-Supervised Methods
-
Transformer-based Methods
-
Incremental Methods
-
-
Applications
-
Semantic Segmentation
- [CVPR2018
- [ACM MM2023
- [WACV 2023
- [NeruIPS 2022
- [ECCV 2022 - research/DecoupleNet)
- [ECCV 2022
- [CVPR 2022
- [WACV 2022
- [WACV 2022
- [NeurIPS2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021 - uda)
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [NeurlIPS 2020 - prml/Pixel-Level-Cycle-Association)
- [BMVC2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020 Oral
- [CVPR2020
- [CVPR2020 - Kim/Learning-Texture-Invariant-Representation)
- [CVPR2020
- [IJCAI2020 - Uncertainty)
- [AAAI2020
- [AAAI2020
- [NeurIPS2019
- [WACV2020
- [WACV2020
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019 Oral - adapt-seg)
- [CVPR2019(Oral)
- [CVPR2019 - pytorch)
- [CVPR2019
- [CVPR2019
- [CVPR2019 - Domain-Invariant-Structure-Extraction)
- [CVPR2019 Oral
- [CVPR2019 Oral
- [CVPR2019 Oral
- [ICLR2019
- [ECCV2018
- [ECCV2018
- [ECCV2018
- [ECCV2018
- [CVPR2018
- [CVPR2018
- [CVPR2018 - seg)
- [ICCV2017
- [ICCV2017
- [TPAMI2023 - DA/SePiCo)
- [TIP2022
- [IJCV2020 - Uncertainty)
- [TIP2020
- [Neurocomputing 2019
- [TIP
- [27 Nov 2019
- [2 Sep 2019
- [8 Dec 2016
- [13 Oct 2020 - Boundless-Multi-Source-Domain-Adaptive-Segmentation-in-Unstructured-Environments)
- [27 Nov 2020 - Self-Attention-Based-Unsupervised-Road-Safety-Classification-in-Hazardous-Environments)
- [26 Jun 2021 - University/TITAN-NET)
- [NeurIPS2020
- [ECCV 2022
- [Neurocomputing 2021 - ai-cz/CAC-UNet-DigestPath2019)
- [ICCV2021
- [ECCV 2022
- [WACV 2023
-
Others
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [3DV 2021 Oral
- [ICRA2022
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021 - Animal-Pose)
- [ECCV2020
- [ECCV2020
- [ICML2020
- [IJCAI2020
- [IJCAI2020
- [IJCAI2020
- [IJCAI2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [NeurIPS 2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [IJCNN
- [WWW2019
- [CVPR2018
- [DYCOPS2022
- [TIP2020
- [Image and Vision Computing 2020 - iplab/DA-RetinaNet) [[Project]](https://iplab.dmi.unict.it/EGO-CH-OBJ-UDA/)
- [JIntellManuf2020
- [KBS2020
- [11 Nov 2019
- [arXiv 3 Jun 2019
- [arXiv 16 Apr 2019
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
- [JIntellManuf2020
-
Object Detection
- [CVPR2019
- [CVPR2021
- [Arxiv 27 May 2021
- [CVPR2023 - sfda-web/)
- [WACV2023 - da]]
- [ICIP2022
- [CVPR2022 - AIM-Group/NLTE)
- [CVPR2022 - CNN) [[PaddlePaddle]](https://github.com/XuYunqiu/H2FA_R-CNN/tree/ppdet)
- [CVPR2022
- [CVPR2022 - NJU/TIA)
- [CVPR2022 - AIM-Group/SIGMA)
- [CVPR2022
- [CVPR2022
- [CVPR2022
- [ICLR2022 - Adaptation-for-Cross-Domain-Object-Detection)
- [AAAI2022 - AIM-Group/SCAN)
- [NeurIPS2021 - domain-adaptation/)
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [CVPR2020
- [CVPR2020
- [CVPR2020 - Nanjing/CR-DA-DET)
- [CVPR2020 Oral - detection)
- [Paper
- [ICIP2020
- [WACV
- [IJCNN2019 Oral - domain-car-detection)
- [ICCV2019 Oral
- [ICCV2019
- [ICCV2019
- [CVPR2019
- [CVPR2019
- [CVPR2019 - www.cs.umass.edu/unsupVideo/)
- [CVPR2019
- [CVPR2019
- [CVPR2019
- [CVPR2018
- [CVPR2018 - DA-Faster-RCNN) [[Caffe]](https://github.com/yuhuayc/da-faster-rcnn) [[Pytorch(under developing)]]()
- [ESWA
- [Neurocomputing
- [17 Nov 2021
- [3 Feb 2020
- [29 Nov 2019
- [17 Nov 2019
- [15 Nov 2019
- [6 Nov 2019
- [AAAI2024
- [ICCV2021
- [ICCV2021
-
Person Re-identification
- [CVPR2021
- [ECCV2020
- [ECCV2020
- [ECV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [CVPR2020
- [ICLR2020
- [ICCV2019 Oral
- [ICCV2019
- [CVPR2019
- [ECCV2018
- [CVPR2018
- [CVPR2018
- [arXiv 22 Apr 2021
- [arXiv 14 Mar 2020
- [arXiv 25 May 2019
- [arXiv 2 Apr 2019
- [arXiv 29 Dec 2018
- [arXiv 26 Nov 2018
- [arXiv 26 Nov 2018
- [CVPR 2021
-
Video Domain Adaptation
-
Medical Related
- [Paper
- [ICCV2019
- [10 Mar 2022 - maria-jose/On-The-Fly-Adaptation)
- [10 Mar 2023 - sfuda)
- [arXiv 29 Aug 2019
- [arXiv on 24 Jan 2019
- [arXiv 14 Nov 2018
- [PSB 2024
-
Monocular Depth Estimation
-
3D
-
Fine-Grained Domain
-
LiDAR
- [3DV 2024
- [ECCV2022 - sfouda)
- [ECCV2022 - uda)
- [13 Mar 2022
-
Remote Sensing
-
-
Partial DA
-
Other Methods
- [CVPR2018
- [NeurIPS2021 - seman-align/Implicit-Semantic-Response-Alignment)
- [NeurIPS2021
- [ECCV2020 - learn/BA3US)
- [ECCV2020
- [CVPR2020
- [BMVC2019
- [CVPR2019
- [ECCV2018
- [CVPR2018
- [arXiv 06 Dec 2020
- [20 Feb 2020
- [arXiv 12 Jun 2019
- [arXiv 10 May 2019
- [20 Feb 2020
-
-
Foundation-Models based DA
-
Other Methods
- [ICML2023 - tanwisuth/POUF)
-
-
Semi-supervised DA
-
Other Methods
-
-
Weakly-Supervised DA
-
Other Methods
-
-
Zero-shot DA
-
One-shot DA
-
Other Methods
-
-
Few-shot UDA
-
Other Methods
- [CVPR2021 - FUDA) [[Project]](http://xyue.io/pcs-fuda/)
- [arXiv 18 Mar 2020
- [arXiv 18 Mar 2020
-
-
Few-shot DA
-
Other Methods
- [WACV2021
- [ICML2020 - teshima/few-shot-domain-adaptation-by-causal-mechanism-transfer)
- [CVPR2019 Oral
- [NIPS2017
- [arXiv 18 May 2020
- [arXiv 8 June 2020 - CDFSL_Track)
- [arXiv 18 May 2020
- [arXiv 8 June 2020 - CDFSL_Track)
-
-
Open Set DA
-
Other Methods
- [ICCV2021
- [ECCV2020
- [ICML2020
- [IJCAI2020
- [CVPR2020
- [CVPR 2020
- [ICCV2019 - feng/margin-openset)
- [CVPR2019
- [CVPR2019
- [ICLR2019
- [ECCV2018 - ut/OPDA_BP) [[Tensorflow]](https://github.com/Mid-Push/Open_set_domain_adaptation) [[Pytorch]](https://github.com/YU1ut/openset-DA)
- [ICCV2017
- [Applied Intelligence 2022
- [IEEE TMM
- [10 Feb 2020
- [3 May 2019
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
- [Applied Intelligence 2022
-
-
Multi Source DA
-
Other Methods
- [ECCV2020
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [ICCV2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [CVPR2021
- [NeurIPS 2020
- [ECCV2020
- [ECCV2020
- [ICML2020
- [AAAI2020
- [AAAI2020
- [AAAI2020
- [NeurlPS2019
- [ICCV2019
- [ICLR2019 - Lab/MuLANN)
- [NIPS2018
- [NIPS2018
- [CVPR2018
- [CVPR2018 - SYSU/MSDA)
- [TPAMI 2022 - Modeling-for-Multi-Source-Domain-Adaptation)
- [Information Fusion
- [arXiv
- [arXiv
- [14 Oct 2019
- [ECCV2020
- [arXiv
- [AAAI2020
- [Cognitive Computation
-
-
Universal DA
-
Other Methods
- [NeurIPS2022 - unida)
- [ICCV2021
- [ICCV 2021
- [CVPR 2021 - Consensus-Clustering)
- [CVPR2021
- [NeurIPS 2020
- [ECCV2020 - Multiple-Uncertainties)
- [CVPR2020 - cvpr2020)
- [CVPR2019 - Domain-Adaptation)
- [Applied Intelligence 2023
- [5 Nov 2020
- [14 Jan 2020
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
- [Applied Intelligence 2023
-
-
Open Compound DA
-
Other Methods
- [NeurIPS2020
- [CVRP2020 Oral - OCDA)
- [TCSVT 2022
-
-
Multi Target DA
-
Incremental DA
-
Other Methods
-
-
Multi Step DA
-
Heterogeneous DA
-
Other Methods
-
-
Target-agnostic DA
-
Other Methods
-
-
Federated DA
-
Other Methods
-
-
Continuously Indexed DA
-
Other Methods
- [ICML 2020 - WhQ)
-
-
Source Free DA
-
Other Methods
- [AAAI2023
- [ICCV2023
- [IJCAI2023
- [ECCV2022 - sfda)
- [ICML2022 - sfda)
- [IJCAI2021 - AILab/CPGA)
- [NeurIPS2021
- [NeurIPS2021
- [BMVC2021
- [ICCV2021
- [ICCV2021 - SFDA)
- [ICCV2021
- [CVPR2021
- [WACV2021 - lab-iitk.github.io/SFDA/)
- [CVPR2020
- [CVPR2020 - cvpr2020)
- [CVPR2020
- [ICML2020 - learn/SHOT)
- [7 Jul 2021 - xd1899/SSHT)
- [14 Dec 2020 - learn/SHOT-plus)
- [CVPR2021
- [WACV2022 - iisc/CoNMix)
- [ECCV2022
- [NeurIPS2021 - group123/CAiDA)
-
-
Active DA
-
Generalized Domain Adaptation
-
Other Methods
-
-
Model Selection
-
Other Methods
- [ICLR2023ORAL
- [NeurIPS2021
- [ICML2019 - Embedded-Validation)
-
-
Other Transfer Learning Paradigms
-
Domain Generalization
- [WACV 2024
- [ICCV Workshop 2023 - domain-generalization)
- [ICCV Workshop 2023 - in-dg)
- [AAAI2023 oral - Texture-Filtering-for-Single-Domain-Generalized-Segmentation)
- [ICCV2023
- [ICLR2023(Oral) - Mixture-of-Experts)
- [NeruIPS2022 - DMoE)
- [CVPR2021
- [NeurIPS2020 - zhao/DG_via_ER)
- [NeurIPS2020
- [ECCV2020
- [ECCV2020
- [ECCV2020 - sjwang/EISNet)
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ECCV2020
- [ICML2020
- [CVPR2020 - ADA)
- [ICLR2020
- [ICLR2020
- [AAAI2020 - tokyo/dg_mmld)
- [Paper
- [NeurIPS2019 - mira/masf)
- [ICCV2019 Oral - DL/Episodic-DG)
- [ICML2019
- [CVPR2019 Oral
- [NIPS2018
- [ECCV2018
- [CVPR2018
- [Pattern Recognition(2019) - DA-DG)
- [8 Dec 2019
- [18 Sep 2019
- [24 May 2019
- [29 Apr 2019
- [9 Dec 2018
- [ICLR2024
- [AAAI2024 (Oral)
- [CVPR 2021
- [ECCV 2022
- [IntellManuf2020
- [CVPR 2024 - DG)
- [IntellManuf2020
- [ICLR 2023
- [IntellManuf2020
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Domain Randomization
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Transfer Metric Learning
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Knowledge Transfer
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Others
-
-
Benchmarks
-
Others
- [PAA2023
- [ICCV Workshop 2021 - ai-cz/LLVIP)
- [arXiv 26 Jun
- [ICLR 2019
- deep-transfer-learning: a PyTorch library for deep transfer learning
- salad: a Semi-supervised Adaptive Learning Across Domains
- transferlearning
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
- [PAA2023
-
-
Explainable
- [CVPR2021 - yz/DA_visualization)
Categories
Applications
315
Unsupervised DA
227
Theory
70
Open Set DA
64
Other Transfer Learning Paradigms
55
Universal DA
54
Benchmarks
51
Multi Source DA
32
Source Free DA
24
Semi-supervised DA
17
Survey
15
Partial DA
15
Zero-shot DA
9
Few-shot DA
8
Incremental DA
8
Active DA
7
Open Compound DA
3
Target-agnostic DA
3
Model Selection
3
Weakly-Supervised DA
3
Multi Target DA
3
Multi Step DA
3
Few-shot UDA
3
Heterogeneous DA
2
One-shot DA
2
Federated DA
1
Foundation-Models based DA
1
Continuously Indexed DA
1
Generalized Domain Adaptation
1
Explainable
1
Sub Categories
Other Methods
354
Others
144
Semantic Segmentation
100
Adversarial Methods
96
Object Detection
64
Domain Generalization
45
Person Re-identification
27
Optimal Transport
16
Video Domain Adaptation
15
Distance-based Methods
14
Medical Related
8
Self-training-Based Methods
8
3D
5
LiDAR
4
Domain Randomization
2
Self-Supervised Methods
2
Knowledge Transfer
2
Monocular Depth Estimation
2
Remote Sensing
1
Fine-Grained Domain
1
Semi-Supervised-Learning-Based Methods
1
Transformer-based Methods
1
Transfer Metric Learning
1
Incremental Methods
1
Information-based Methods
1