Zero-shot classification with unseen prototype learning
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05746-9
Abstract: Zero-shot learning (ZSL) aims at recognizing instances from unseen classes via training a classification model with only seen data. Most existing approaches easily suffer from the classification bias from unseen to seen categories since the… read more here.
Keywords: unseen prototype; zsl; prototype learning; zero shot ... See more keywords
Spectral–Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3237131
Abstract: Due to the Hughes phenomenon, hyperspectral image (HSI) classification under small sample size situation is still a key challenging problem. To alleviate this issue, we propose a novel spectral–spatial prototype learning-based nearest neighbor classifier (SSPLNN)… read more here.
Keywords: spectral spatial; spatial prototype; prototype learning; nearest neighbor ... See more keywords
Separable Deep Graph Convolutional Network Integrated With CNN and Prototype Learning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3390575
Abstract: Graph convolutional networks (GCNs) have garnered extensive attention in the realm of hyperspectral image (HSI) classification. However, due to the problem of oversmoothing caused by deep GCN, most of the existing GCN-based methods are limited… read more here.
Keywords: classification; prototype learning; graph convolutional; separable deep ... See more keywords
Hierarchical Prototype Learning via Aggregation-Decomposition for Fine-Grained Geospatial Scene Graph Generation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3629400
Abstract: Geospatial scene graph generation (G-SGG) in remote sensing imagery (RSI) aims to identify triplets that reflect interactions among objects on the Earth’s surface. A key challenge in G-SGG is the large intraclass variation of geospatial… read more here.
Keywords: scene graph; prototype learning; prototype; hierarchical prototype ... See more keywords
A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3164215
Abstract: Existing heterogeneous face synthesis (HFS) methods focus on performing accurate image-to-image translation across domains, while they cannot effectively remove the nuisance facial variations such as poses, expressions or occlusions. To address such challenges, this paper… read more here.
Keywords: face; prototype; source; prototype learning ... See more keywords
Analysis of Freezing of Gait in Parkinson’s Disease Detection Using a Multimodal Prototype Learning Framework
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2025.3605204
Abstract: Patients with severe Parkinson’s disease (PD) frequently have freezing of gait (FOG), a gait disability. By anticipating FOG before it occurs, pre-emptive cueing can either prevent FOG or lessen its severity and duration. To improve… read more here.
Keywords: detection; prototype learning; gait; learning ... See more keywords