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Domain adaptation with invariant representation learning: What transformation...
Domain adaptation with invariant representation learning: What transformations to learn? -
Spherical Space Domain Adaptation with Robust Pseudo-label Loss
Spherical Space Domain Adaptation with Robust Pseudo-label Loss -
Fixbi: Bridging domain spaces for unsupervised domain adaptation
Fixbi: Bridging domain spaces for unsupervised domain adaptation -
Domain Adaptation Datasets
Four domain adaptation datasets: Medical, IT, Koran and Subtitles. -
Waymo Domain Adaptation Dataset
The Waymo Domain Adaptation Dataset is a dataset for domain adaptation in 3D object detection, containing 20 sequences with 3933 frames. -
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA -
Medical Cross-Modality Domain Adaptation Benchmark
A medical cross-modality domain adaptation benchmark proposed in [6] to validate the performance of our proposed unsupervised cross-modality domain adaptation method for... -
MoDA: Map style transfer for self-supervised domain adaptation of embodied ag...
MoDA proposes a self-supervised domain adaptation method for visual and dynamics corruptions in embodied agents. -
Office-10 Dataset
The Office-10 dataset is a more classic benchmark dataset from [17]. -
ImageCLEF-DA1 Dataset
The ImageCLEF-DA1 dataset is also a benchmark dataset for domain adaptation, which contains 12 categories shared by three public datasets, Caltech- 256 (C), ImageNet ILSVRC 2012... -
Office-31 Dataset
The Office-31 dataset is a standard benchmark for domain adaptation from [16], comprising 4,652 images and 31 categories collected from three distinct domains: Amazon (A), Webcam... -
Domain-Adversarial Training of Neural Networks
The UPNA Synthetic dataset consists of 12 videos for each of 10 subjects; 120 videos in total with 38,800 frames. -
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout
The paper proposes a technique for domain adaptation in stacked autoencoders using systematic dropout. -
Office-Home dataset
The Office-Home dataset is a visual domain adaptation task, where the goal is to adapt a model trained in a source domain to a target domain with different distributions. -
VisDA dataset for UDA
The VisDA dataset is a large-scale dataset for unsupervised domain adaptation, which consists of 152,397 synthetic images and 55,388 real-world images from the real world. -
Office-Home dataset for UDA
The Office-Home dataset is a dataset for unsupervised domain adaptation, which consists of 15,500 images from 65 classes in 4 distinct domains: Artistic images (Ar), Clip-Art... -
Office-31 dataset for UDA
The Office-31 dataset is a widely-used dataset for UDA, which consists of 4652 images of 31 categories from three domains: DSLR (D), Amazon (A), and Webcam (W). -
NIST-SRE 2016
The NIST-SRE 2016 dataset contains recordings of speakers from different domains.