Semi-supervised DA; Weakly-Supervised DA; Zero-shot DA; One-shot DA; Few-shot UDA; Few-shot DA; Partial DA; Open Set DA; Universal DA; Open Compound DA ... ... <看更多>
Task Dataset Model Metric Name Metric Value
Text Classification Amazon‑2 BERT Finetune + UDA Error 3.5
Text Classification Amazon‑5 BERT Finetune + UDA Error 37.12
Sentiment Analysis Amazon Review Full BERT large Accuracy 65.83
In this paper, we propose a novel category anchor-guided (CAG) UDA model for semantic segmentation, which explicitly enforces category-aware feature alignment ...
This paper introduces Universal Domain Adaptation (UDA) that requires no prior knowledge on the label sets. For a given source label set and a target label ...
With the goal of generality, we introduce AdaMatch, a method that unifies the tasks of unsupervised domain adaptation (UDA), semi-supervised learning (SSL), ...
TABLE IV: Accuracy (%) on the Office-31 dataset [56] for closed set UDA. Results are based on models adapted from a 50-layer ResNet. Parse references ...
#11.
Do We Really Need to Access the Source ... - Papers With Code
Unsupervised domain adaptation (UDA) aims to leverage the knowledge learned from a labeled source dataset to solve similar tasks in a new unlabeled domain.
#12.
Instance Adaptive Self-Training for Unsupervised Domain ...
Unsupervised domain adaptation (UDA) attempts to solve such a problem. Recent works show that self-training is a powerful approach to UDA.
Contact us on: [email protected] . Papers With Code is a free resource with all data licensed under CC-BY-SA. Terms Data ...
#14.
Understanding the Limits of Unsupervised Domain Adaptation ...
Motivated from this, we propose novel data poisoning attacks to fool UDA methods into learning representations that produce large target domain errors. We ...
#15.
UDA-COPE: Unsupervised Domain Adaptation for Category ...
Contact us on: [email protected] . Papers With Code is a free resource with all data licensed under CC-BY-SA. Terms Data ...
#16.
CDTrans: Cross-domain Transformer for Unsupervised ...
Unsupervised domain adaptation (UDA) aims to transfer knowledge learned from a labeled source domain to a different unlabeled target domain.
#17.
Learning to Relate Depth and Semantics for Unsupervised ...
We present an approach for encoding visual task relationships to improve model performance in an Unsupervised Domain Adaptation (UDA) setting.
#18.
Unsupervised Data Augmentation for Consistency Training
On CIFAR-10, with only 4,000 labeled examples, UDA matches the performance of fully supervised Wide-ResNet-28-2 and PyramidNet+ShakeDrop, where they have an ...
#19.
A Modern Benchmark for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) deals with the adaptation process of a given source domain with labeled training data to a target domain for which only ...
#20.
Self-Supervised Pre-Training for Transformer-Based Person ...
... the pre-training models under supervised learning, unsupervised domain adaptation (UDA), and unsupervised learning (USL) settings.
#21.
xMUDA: Cross-Modal Unsupervised Domain Adaptation for ...
Table 1: mIoU on the respective target sets for 3D semantic segmentation in different Cross-Modal UDA scenarios. We report the result for each network stream ( ...
#22.
Semi-supervised learning for medical image classification ...
Table 3: Test set results of supervised learning, UDA baseline and various methods designed for handling class imbalance on top of UDA for the HAM10000 ...
#23.
Continual Unsupervised Domain Adaptation for Semantic ...
Moreover, Continual UDA, which deals with more practical scenarios with multiple target domains in the continual learning setting, has not been actively ...
#24.
Towards Online Domain Adaptive Object Detection - Papers ...
Unsupervised Domain Adaptation (UDA) methods are generally employed to mitigate the adverse effects caused by domain shift.
#25.
Generalized Domain Adaptation | Papers With Code
In this paper, we give a general representation of UDA problems, named Generalized Domain Adaptation (GDA). GDA covers the major variants as special cases, ...
#26.
SENTRY: Selective Entropy Optimization via Committee ...
Many existing approaches for unsupervised domain adaptation (UDA) focus on adapting under only data distribution shift and offer limited success under ...
As UDA methods for semantic segmentation are usually GPU memory intensive, most previous methods operate only on downscaled images. We question ...
#28.
Similarity-based Domain Alignment for Adaptive Object ...
This has motivated research in Unsupervised Domain Adaptation (UDA) algorithms for detection. UDA methods learn to adapt from labeled source domains to ...
#29.
MT-UDA: Towards Unsupervised Cross-modality Medical ...
由 Z Zhao 著作 · 2022 · 被引用 3 次 — Although deep unsupervised domain adaptation (UDA) can leverage well-established source domain annotations and abundant target domain data ...
#30.
zhaoxin94/awesome-domain-adaptation - GitHub
Semi-supervised DA; Weakly-Supervised DA; Zero-shot DA; One-shot DA; Few-shot UDA; Few-shot DA; Partial DA; Open Set DA; Universal DA; Open Compound DA ...
#32.
Ad-hoc low-resource text classification (in real life!) - Bewgle Inc
... (seehttps://paperswithcode.com/sota/sentiment-analysis-on-imdb ) and ... We were quite excited about UDA which promises SOTA result on ...
#33.
Nguyen Thanh Hoa (@BluePeace93) / Twitter
Papers with Code : Year in Review We're ending the year by taking a look back at the top ... Key: consistency training (UDA, FixMatch, ReMixMatch, ICT, etc.) ...
#35.
PixMatch: Unsupervised Domain Adaptation via Pixelwise ...
In the setting of unsupervised domain adaptation (UDA) for semantic ... including all top results from the SoTa benchmark list on PapersWithCode.
#36.
Improving the Generalization of Adversarial Training with ...
JHL-HUST/ATDA + Papers with Code ... By combining UDA and SDA together with SAT, our final algorithm ATDA can exhibits stable improvements on the standard ...
#37.
YFCC100M: the new data in multimedia research | Request PDF
... https://paperswithcode.com/dataset/inaturalist and takes third place in the ... We investigate the effectiveness of unsupervised domain adaptation (UDA) ...
#38.
论文笔记：Synthetic-to-Real Domain Adaptation for Object ...
uda paperswithcode 在 zhaoxin94/awesome-domain-adaptation - GitHub 的推薦與評價
Semi-supervised DA; Weakly-Supervised DA; Zero-shot DA; One-shot DA; Few-shot UDA; Few-shot DA; Partial DA; Open Set DA; Universal DA; Open Compound DA ... ... <看更多>