Paying Attention to Descriptions Generated by Image Captioning Models

Paying Attention to Descriptions Generated by Image Captioning Models

24 April 2017

Hamed R. Tavakoli

Rakshith Shetty

Jorma T. Laaksonen

Papers citing "Paying Attention to Descriptions Generated by Image Captioning Models"

10 / 10 papers shown

Title
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation Catherine Yeh Donghao Ren Yannick Assogba Dominik Moritz Fred Hohman 38 0 0 01 Oct 2024
Semantic and Expressive Variation in Image Captions Across Languages Andre Ye Sebastin Santy Jena D. Hwang Amy X. Zhang Ranjay Krishna VLM 61 3 0 22 Oct 2023
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering Ekta Sood Fabian Kögel Florian Strohm Prajit Dhar Andreas Bulling 40 19 0 27 Sep 2021
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 67 254 0 14 Jul 2021
AiR: Attention with Reasoning Capability Shi Chen Ming Jiang Jinhui Yang Qi Zhao LRM 13 36 0 28 Jul 2020
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework C. Sur 27 7 0 16 Feb 2020
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC) C. Sur 25 16 0 15 Feb 2020
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style Hongwei Ge Zehang Yan Kai Zhang Mingde Zhao Liang Sun 30 24 0 15 Oct 2019
Boosted Attention: Leveraging Human Attention for Image Captioning Shi Chen Qi Zhao 24 47 0 18 Mar 2019
A Comprehensive Survey of Deep Learning for Image Captioning Md Zakir Hossain Ferdous Sohel M. Shiratuddin Hamid Laga VLM 3DV 45 760 0 06 Oct 2018