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Unifying Latent and Lexicon Representations for Effective Video-Text
  Retrieval

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval

26 February 2024
Haowei Liu
Yaya Shi
Haiyang Xu
Chunfen Yuan
Qinghao Ye
Chenliang Li
Mingshi Yan
Ji Zhang
Fei Huang
Bing Li
Weiming Hu
ArXivPDFHTML

Papers citing "Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval"

4 / 4 papers shown
Title
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval
Jinbin Bai
Chunhui Liu
Feiyue Ni
Haofan Wang
Mengying Hu
Xiaofeng Guo
Lele Cheng
34
11
0
11 Jul 2022
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIP
VLM
245
554
0
28 Sep 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
154
676
0
22 Apr 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
278
1,939
0
09 Feb 2021
1