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Bidirectional Matching Prototypical Network for Few-Shot Image Classification

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1 Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3152686

Abstract: Few-shot image classification (FSIC) is the task of generalizing a model to unknown categories by learning from a small number of labeled samples of some given categories. Recently, metric-based approaches have received lots of attention… read more here.

Keywords: shot image; bidirectional matching; model; image classification ... See more keywords

Semantic-Aligned Attention With Refining Feature Embedding for Few-Shot Image Classification

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1 Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3127632

Abstract: Autonomous driving relies on trusty visual recognition of surrounding objects. Few-shot image classification is used in autonomous driving to help recognize objects that are rarely seen. Successful embedding and metric-learning approaches to this task normally… read more here.

Keywords: classification; shot image; feature embedding; feature ... See more keywords

Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification.

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2 Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3262351

Abstract: Few-shot image classification aims at exploring transferable features from base classes to recognize images of the unseen novel classes with only a few labeled images. Existing methods usually compare the support features and query features,… read more here.

Keywords: existing methods; sinkhorn distance; shot image; distance ... See more keywords

Different structured-light patterns in single-shot 2D-to-3D image conversion using deep learning.

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1 Published in 2022 at "Applied optics"

DOI: 10.1364/ao.468984

Abstract: Single-shot 3D shape reconstruction integrating structured light and deep learning has drawn considerable attention and achieved significant progress in recent years due to its wide-ranging applications in various fields. The prevailing deep-learning-based 3D reconstruction using… read more here.

Keywords: light patterns; shot image; deep learning; structured light ... See more keywords

MDPN: Multilevel Distribution Propagation Network for Few-Shot Image Classification

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0 Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13116518

Abstract: Due to a shortage of labeled examples, few-shot image classification frequently experiences noise interference and insufficient feature extraction. In this paper, we present a two-stage framework based on the distribution propagation graph neural network (DPGN)… read more here.

Keywords: classification; shot image; image classification; distribution propagation ... See more keywords