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. 1909.02217
  4. Cited By
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image
  Captioning

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning

5 September 2019
Ming Jiang
Junjie Hu
Qiuyuan Huang
Lei Zhang
Jana Diesner
Jianfeng Gao
ArXivPDFHTML

Papers citing "REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning"

2 / 2 papers shown
Title
R$^3$Net:Relation-embedded Representation Reconstruction Network for
  Change Captioning
R3^33Net:Relation-embedded Representation Reconstruction Network for Change Captioning
Yunbin Tu
Liang Li
C. Yan
Shengxiang Gao
Zhengtao Yu
12
22
0
20 Oct 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini
Marcella Cornia
Lorenzo Baraldi
S. Cascianelli
G. Fiameni
Rita Cucchiara
3DV
VLM
MLLM
53
253
0
14 Jul 2021
1