ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.03384
  4. Cited By
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

7 February 2022
Jinpeng Wang
B. Chen
Dongliang Liao
Ziyun Zeng
Gongfu Li
Shutao Xia
Jin Xu
ArXivPDFHTML

Papers citing "Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval"

3 / 3 papers shown
Title
Write What You Want: Applying Text-to-video Retrieval to Audiovisual
  Archives
Write What You Want: Applying Text-to-video Retrieval to Audiovisual Archives
Yuchen Yang
VGen
19
7
0
09 Oct 2023
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
Xiaohan Wang
Linchao Zhu
Yi Yang
156
169
0
20 Apr 2021
Multi-modal Transformer for Video Retrieval
Multi-modal Transformer for Video Retrieval
Valentin Gabeur
Chen Sun
Alahari Karteek
Cordelia Schmid
ViT
412
595
0
21 Jul 2020
1