Multistage temporal convolution transformer for action segmentation-Reference-Cited by-同舟云学术

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Multistage temporal convolution transformer for action segmentation

Published:2022-12 Issue: Volume:128 Page:104567
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Aziere Nicolas,Todorovic Sinisa

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference26 articles.

1. Refining action segmentation with hierarchical video representations;Ahn,2021

2. Quo vadis, action recognition? A new model and the kinetics dataset;Carreira,2017

3. Action segmentation with joint self-supervised temporal domain adaptation;Chen,2020

4. On the relationship between self-attention and convolutional layers;Cordonnier,2020

5. CoAtNet: marrying convolution and attention for all data sizes;Dai;CoRR,2021

Cited by 5 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. Temporal Action Segmentation: An Analysis of Modern Techniques;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

2. Spatial-temporal graph transformer network for skeleton-based temporal action segmentation;Multimedia Tools and Applications;2023-10-17

3. Action Text Diffusion Prior Network for Action Segmentation;20th International Conference on Content-based Multimedia Indexing;2023-09-20

4. FSformer: Fast-Slow Transformer for video action recognition;Image and Vision Computing;2023-09

5. MCANet: Hierarchical cross-fusion lightweight transformer based on multi-ConvHead attention for object detection;Image and Vision Computing;2023-08

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