Boosted Attention: Leveraging Human Attention for Image Captioning

18 March 2019

Papers citing "Boosted Attention: Leveraging Human Attention for Image Captioning"

6 / 6 papers shown

Title
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors Dario Zanca Andrea Zugarini S.J. Dietz Thomas Altstidl Mark A. Turban Ndjeuha Leo Schwinn Bjoern M. Eskofier VLM 17 1 0 21 May 2023
Neural Attention for Image Captioning: Review of Outstanding Methods Zanyar Zohourianshahzadi Jugal Kalita VLM 29 45 0 29 Nov 2021
Cross Modification Attention Based Deliberation Model for Image Captioning Zheng Lian Yanan Zhang Haichang Li Rui Wang Xiaohui Hu 24 4 0 17 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
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze Ece Takmaz Sandro Pezzelle Lisa Beinborn Raquel Fernández 35 22 0 09 Nov 2020
Context and Attribute Grounded Dense Captioning Guojun Yin Lu Sheng Bin Liu Nenghai Yu Xiaogang Wang Jing Shao 16 75 0 02 Apr 2019