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CSTA: CNN-based Spatiotemporal Attention for Video Summarization

CSTA: CNN-based Spatiotemporal Attention for Video Summarization

20 May 2024
Jaewon Son
Jaehun Park
Kwangsu Kim
    AI4TS
    ViT
ArXivPDFHTML

Papers citing "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"

6 / 6 papers shown
Title
Video Dataset Condensation with Diffusion Models
Video Dataset Condensation with Diffusion Models
Zhe Li
Hadrien Reynaud
Mischa Dombrowski
Sarah Cechnicka
Franciskus Xaverius Erick
Bernhard Kainz
DD
VGen
47
0
0
10 May 2025
Video Summarization with Large Language Models
Video Summarization with Large Language Models
Min Jung Lee
Dayoung Gong
Minsu Cho
26
0
0
15 Apr 2025
Language-Guided Self-Supervised Video Summarization Using Text Semantic
  Matching Considering the Diversity of the Video
Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video
Tomoya Sugihara
Shuntaro Masuda
Ling Xiao
Toshihiko Yamasaki
29
3
0
14 May 2024
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo
Kai Han
Han Wu
Yehui Tang
Chunjing Xu
Yunhe Wang
Chang Xu
ViT
349
500
0
13 Jul 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
209
232
0
16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
205
344
0
22 Jan 2020
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