research
∙
11/08/2022
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Improving model's generalizability against domain shifts is crucial, esp...
share
research
∙
06/16/2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Adapting to a continuously evolving environment is a safety-critical cha...
research
∙
03/08/2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Video anomaly detection is well investigated in weakly-supervised and on...
research
∙
07/01/2021
On the Practicality of Deterministic Epistemic Uncertainty
A set of novel approaches for estimating epistemic uncertainty in deep n...
research
∙
11/26/2020
Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps
Most state-of-the-art methods for action recognition rely only on 2D spa...
research
∙
11/26/2020
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
Transferring the style from one image onto another is a popular and wide...
research
∙
11/25/2020
Batch Normalization Embeddings for Deep Domain Generalization
Domain generalization aims at training machine learning models to perfor...
research
∙
07/16/2019