42 datasets found

Domain adaptation with invariant representation learning: What transformations to learn?

Spherical Space Domain Adaptation with Robust Pseudo-label Loss

Fixbi: Bridging domain spaces for unsupervised domain adaptation

Unsupervised Domain Adaptation with Deep Neural-Networks

dsprites: A benchmark for disentanglement in unsupervised learning.

The proposed method for unsupervised deep learning of handwritten text line segmentation.

The TFDS-RP dataset is a real-time unsupervised anomaly detection dataset with localization, focusing on freight train monitoring applications.

Emotion recognition is involved in several real-world applications. With an increase in available modalities, automatic understanding of emotions is being performed more...

The proposed Tracking-by-Animation (TBA) framework achieves unsupervised end-to-end learning of MOT tasks.

The dataset used in the paper for unsupervised domain adaptation.

Unsupervised deep image stitching: Reconstructing stitched features to images.

Chinese–Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information

Unsupervised domain generalization (UDG) aims to learn generalizable models with unlabeled data and analyze the effects of pre-training on DG.

Synthetic Aperture Sonar (SAS) images, semi-labeled (i.e. not every pixel is labeled in every image)

RF PIX2PIX Unsupervised Wi-Fi to Video Translation

Reliable fault detection is an essential requirement for safe and efficient operation of complex mechanical systems in various industrial applications.

A benchmark dataset for few-shot image-to-image translation

Birds dataset consists of 28752 images of birds, each described by a Fisher vector representation.

A benchmark dataset for few-shot image-to-image translation

A benchmark dataset for few-shot image-to-image translation