Search Results for author:
Found 5 papers, 2 papers with code
Cross Contrasting Feature Perturbation for Domain Generalization
Domain generalization (DG) aims to learn a robust model from source domains that generalize well on unseen target domains.
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Different from learning domain invariant features from source domains, we decouple the input images into Domain Expert Features and noise.
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation
Experimental results on multiple semantic segmentation benchmarks show that our unsupervised segmentation framework specializes in catching semantic representations, which outperforms all the unpretrained and even several pretrained methods.
Ranked #1 on
Unsupervised Semantic Segmentation
on COCO-Stuff-3
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification
Therefore, this letter proposes a shallow model for HSIC, which is called depthwise over-parameterized convolutional neural network (DOCNN).
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots
As one of the most promising areas, mobile robots draw much attention these years.
Robotics
