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ICSVR: Investigating Compositional and Syntactic Understanding in Video
  Retrieval Models

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models

28 June 2023
Avinash Madasu
Vasudev Lal
    CoGe
ArXivPDFHTML

Papers citing "ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models"

5 / 5 papers shown
Title
VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models
Dahun Kim
A. Piergiovanni
Ganesh Mallya
A. Angelova
CoGe
34
0
0
04 Apr 2025
What do Large Language Models Learn beyond Language?
What do Large Language Models Learn beyond Language?
Avinash Madasu
Shashank Srivastava
LRM
AI4CE
26
5
0
21 Oct 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 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
303
771
0
18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1