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. 2311.12919
  4. Cited By
SPOT! Revisiting Video-Language Models for Event Understanding

SPOT! Revisiting Video-Language Models for Event Understanding

21 November 2023
Gengyuan Zhang
Jinhe Bi
Jindong Gu
Yanyu Chen
Volker Tresp
ArXivPDFHTML

Papers citing "SPOT! Revisiting Video-Language Models for Event Understanding"

4 / 4 papers shown
Title
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning
  over Untrimmed Videos
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
Zhou Yu
Lixiang Zheng
Zhou Zhao
A. Fedoseev
Jianping Fan
Kui Ren
Jun Yu
CoGe
27
13
0
04 May 2023
Test of Time: Instilling Video-Language Models with a Sense of Time
Test of Time: Instilling Video-Language Models with a Sense of Time
Piyush Bagad
Makarand Tapaswi
Cees G. M. Snoek
70
36
0
05 Jan 2023
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
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OOD
AAML
132
287
0
14 Mar 2020
1