GAN for vision, KG for relation: A two-stage network for zero-shot action recognition-Reference-Cited by-同舟云学术

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GAN for vision, KG for relation: A two-stage network for zero-shot action recognition

Published:2022-06 Issue: Volume:126 Page:108563
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Sun Bin,Kong Dehui,Wang Shaofan,Li Jinghua,Yin Baocai,Luo Xiaonan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Order-aware convolutional pooling for video based action recognition;Wang;Pattern Recognit.,2019

2. Spatio-temporal deformable 3D convnets with attention for action recognition;Li;Pattern Recognit.,2020

3. Learning universal multiview dictionary for human action recognition;Yao;Pattern Recognit.,2017

4. Joint transferable dictionary learning and view adaptation for multi-view human action recognition;Sun;ACM Trans. Knowl. Discov. Data,2021

5. A survey of zero-shot learning: settings, methods, and applications;Wang;ACM Trans. Intell. Syst. Technol.,2019

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1. Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning;Knowledge-Based Systems;2024-10

2. Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning;Pattern Recognition;2024-08

3. ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries;IEEE Transactions on Multimedia;2024

4. Transductive Learning With Prior Knowledge for Generalized Zero-Shot Action Recognition;IEEE Transactions on Circuits and Systems for Video Technology;2024-01

5. Self-Relational Graph Convolution Network for Skeleton-Based Action Recognition;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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