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STOA-VLP: Spatial-Temporal Modeling of Object and Action for
  Video-Language Pre-training
v1v2 (latest)

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training

AAAI Conference on Artificial Intelligence (AAAI), 2023
20 February 2023
Weihong Zhong
Mao Zheng
Duyu Tang
Xuan Luo
Heng Gong
Xiaocheng Feng
Bing Qin
ArXiv (abs)PDFHTML

Papers citing "STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training"

4 / 4 papers shown
Title
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRMHILM
306
1,755
0
09 Nov 2023
VidCoM: Fast Video Comprehension through Large Language Models with
  Multimodal Tools
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
Huihui Gong
Minjing Dong
Siqi Ma
S. Çamtepe
Chang Xu
Lei Hou
Surya Nepal
VLMMLLM
207
0
0
16 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TSSyDa
307
159
0
16 Oct 2023
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional LayersInternational Conference on Learning Representations (ICLR), 2019
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
457
598
0
08 Nov 2019
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