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A Comprehensive Empirical Study of Vision-Language Pre-trained Model for
  Supervised Cross-Modal Retrieval

A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval

8 January 2022
Zhixiong Zeng
Wenji Mao
    VLM
ArXivPDFHTML

Papers citing "A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval"

4 / 4 papers shown
Title
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Joey Tianyi Zhou
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIP
VLM
MLLM
206
406
0
13 Jul 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip
  Retrieval
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo
Lei Ji
Ming Zhong
Yang Chen
Wen Lei
Nan Duan
Tianrui Li
CLIP
VLM
332
782
0
18 Apr 2021
Probabilistic Embeddings for Cross-Modal Retrieval
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun
Seong Joon Oh
Rafael Sampaio de Rezende
Yannis Kalantidis
Diane Larlus
UQCV
415
203
0
13 Jan 2021
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
224
1,400
0
04 Dec 2018
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