- An Attention Mechanism and GRU Based Deep Learning Model for ...🔍
- Boosting image caption generation with feature fusion module🔍
- Image Captioning with Compositional Neural Module Networks🔍
- Video Captioning with Transferred Semantic Attributes🔍
- A Comprehensive Survey of Deep Learning for Image Captioning🔍
- Boosted Transformer for Image Captioning🔍
- Extracting Effective Image Attributes with Refined Universal Detection🔍
- Image Captioning With Controllable and Adaptive Length Levels🔍
Boosting Image Captioning With Attributes
An Attention Mechanism and GRU Based Deep Learning Model for ...
Image captioning using template-based methods and retrieval based approach had some limitations like missing important objects and other attributes. Later on, ...
Boosting image caption generation with feature fusion module
Image caption generation has been considered as a key issue on vision-to-language tasks. Using the classification model, such as AlexNet, VGG and ResNet as ...
Image Captioning with Attributes: [6] combined visual features with ... “Boosting Image Captioning With At- tributes”. In: Proceedings of the IEEE ...
To boost video captioning, we propose a novel transfer u- nit to model the mutually correlated attributes learnt from images and videos. Extensive experiments ...
A Comprehensive Survey of Deep Learning for Image Captioning
Image captioning requires recognizing the important objects, their attributes, and their relationships in an image. It also needs to generate syntactically and ...
Boosted Transformer for Image Captioning - OUCI
Image captioning attempts to generate a description given an image, usually taking Convolutional Neural Network as the encoder to extract the visual ...
Extracting Effective Image Attributes with Refined Universal Detection
Given the detected attributes, researchers attempted to enhance their image captioning methods. Yao et al. [4] attempted to feed the attributes into their ...
Image Captioning With Controllable and Adaptive Length Levels
By integrating a length level embedding into current models, they can produce detailed or concise captions, increasing diversity. We introduce a length-level ...
Contextual and selective attention networks for image captioning
Boosting image captioning with attributes. In: Proceedings of the IEEE International Conference on Computer Vision, 2017. 4894–4902. Yao T ...
An Overview of Image Caption Generation Methods - PMC
Boosting image captioning with attributes. Proceedings of the IEEE Conference on International Conferenceon Computer Vision; June 2016; Las Vegas, NV, USA ...
Image captioning model using attention and object features to mimic ...
Image captioning spans the fields of computer vision and natural language processing. The image captioning task generalizes object detection ...
awesome-image-captioning/README.md at master - GitHub
Boosting Image Captioning with Attributes - Yao T et al, ICCV 2017 . An Empirical Study of Language CNN for Image Captioning - Gu J et al, ICCV 2017 .
Leveraging Transformer Networks for Advanced Image Captioning
Image captioning is a technique used to generate descriptive captions for images ... Boosting image captioning with attributes; Proceedings of the ...
Entangled Transformer for Image Captioning - Linchao Zhu
ting (see the ETAoracle), where the semantic attributes tok- enized from the ground truth captions are provided during test time. ... Boosting image captioning ...
Informative Image Captioning with External Sources of Information
(2017) is related to our approach, as they integrate pre- computed attributes into image captioning models. ... Boosting image captioning with at- tributes. In ...
A Survey on Image Captioning datasets and Evaluation Metrics
2017 Proceedings of the IEEE International Conference on Computer Vision Boosting image captioning with attributes 4894-4902. Google Scholar. [37] Lu J ...
Contrastive Learning for Image Captioning - NIPS
Models for Image Captioning The history of image captioning can date back to decades ago. ... Boosting image captioning with attributes. arXiv preprint arXiv: ...
ICEAP: An advanced fine-grained image captioning network ... - OUCI
T. Yao, Y. Pan, Y. Li, Z. Qiu, T. Mei, Boosting image captioning with attributes, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, ...
Enhancing image captioning performance based on efficientnet B0 ...
Deep learning approaches can address the complexities and difficulties associated with image captions. This paper describes a joint model which ...
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
2017. Boosting image captioning with attributes. ICCV. You, Q.; Jin, H.; Wang, Z.; Fang, C ...