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A statistical framework for few-shot action recognition
Multimedia Tools and Applications, 2021Along with the exponential growth of online video creation platforms such as Tik Tok and Instagram, state of the art research involving quick and effective action/gesture recognition remains crucial. This work addresses the challenge of classifying short video clips, using a domain-specific feature design approach, capable of performing significantly ...
Mark Haddad +3 more
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Few-Shot Image Recognition With Knowledge Transfer
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Human can well recognize images of novel categories just after browsing few examples of these categories. One possible reason is that they have some external discriminative visual information about these categories from their prior knowledge. Inspired from this, we propose a novel Knowledge Transfer Network architecture (KTN) for few-shot image ...
Zhimao Peng +5 more
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Few-shot Image Recognition for UAV Sports Cinematography
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020The goal of few-shot image learning is to utilize a very small amount of training examples in order to train a machine learning model to recognize a given number of image classes. While humans can perform such a task pretty much effortlessly, applying the same mechanism to deep learning visual recognition systems is a much more difficult task, having a
Emmanouil Patsiouras +2 more
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Few-shot learning for ear recognition
Proceedings of the 2019 International Conference on Image, Video and Signal Processing, 2019Ear recognition is a popular field of research within the biometric community. It plays an important part in automatic recognition systems. The ability to capture image of the ear from a distance and perform identity recognition makes ear recognition technology an attractive choice for security application as well as other related applications. However,
Jie Zhang +3 more
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Siamese-Hashing Network for Few-Shot Palmprint Recognition
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019In recent years, palmprint-based recognition technology has become one of the hotspots in biometrics research. The accuracy of traditional palmprint recognition algorithms mainly depends on vast data and labels. However, in reality, we usually have few labeled data.
Chengcheng Liu +3 more
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Prototypical Network for Few-Shot Signal Recognition
2022 9th International Conference on Dependable Systems and Their Applications (DSA), 2022Hanhong Wang +3 more
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Few-shot Action Recognition with Video Transformer
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2023Nartay Aikyn +3 more
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Few-shot Egocentric Multimodal Activity Recognition
ACM Multimedia Asia, 2021Jinxing Pan +3 more
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Few-shot learning for speaker recognition
2021This thesis sets out to compare recent methods in speaker recognition, from a small amount of data. Speaker recognition aims to distinguish speakers from within audio data containing speech, the use cases include for example speaker diarization and voice biometric authentication.
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Learning attention-guided pyramidal features for few-shot fine-grained recognition
Pattern Recognition, 2022Zechao Li, Jinhui Tang
exaly