FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition-Reference-Cited by-同舟云学术

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FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Fan Lei¹,Xiong Peixi¹,Wei Wei¹,Wu Ying¹

Affiliation:

1. Northwestern University,Evanston,IL,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711273.pdf?arnumber=9711273

Reference42 articles.

1. Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

2. Metaview: Few-shot active object recognition;wei,2021

3. Prototypical networks for few-shot learning;snell,2017

4. Recognition self-awareness for active object recognition on depth images;roberti;BMVC,2018

5. Incremental few-shot learning with attention attractor networks;ren,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

2. “This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations;Lecture Notes in Computer Science;2022

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