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07/24/2023
Cross Contrastive Feature Perturbation for Domain Generalization
Domain generalization (DG) aims to learn a robust model from source doma...
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02/05/2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Domain Generalization (DG) is a fundamental challenge for machine learni...
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11/26/2022
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation
Unsupervised image semantic segmentation(UISS) aims to match low-level v...
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05/14/2022
BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic
Adaptively Informed Trees (AIT*) develops the problem-specific heuristic...
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12/15/2021
Enhance Connectivity of Promising Regions for Sampling-based Path Planning
Sampling-based path planning algorithms usually implement uniform sampli...
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12/01/2021
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification
Recently, convolutional neural network (CNN) techniques have gained popu...
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10/31/2021
Relevant Region Sampling Strategy with Adaptive Heuristic Estimation for Asymptotically Optimal Motion Planning
The sampling-based motion planning algorithms can solve the motion plann...
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03/23/2019