Boosting Image Captioning With Attributes

[1611.01646] Boosting Image Captioning with Attributes - arXiv

In this paper, we present Long Short-Term Memory with Attributes (LSTM-A) - a novel architecture that integrates attributes into the successful ...

Boosting Image Captioning With Attributes - CVF Open Access

To incorporate attributes into captioning, we construct variants of architectures by feeding image representations and attributes into RNNs in different ways to ...

Boosting Image Captioning with Attributes - IEEE Xplore

To incorporate attributes into captioning, we construct variants of architectures by feeding image representations and attributes into RNNs in different ways to ...

Boosting Image Captioning with Attributes - IEEE Computer Society

Automatically describing an image with a natural language has been an emerging challenge in both fields of computer vision and natural language processing.

BOOSTING IMAGE CAPTIONING WITH ATTRIBUTES - OpenReview

The main contribution of this work is the proposal of attribute augmented architectures by integrating the attributes into CNN plus RNN image captioning ...

[PDF] Boosting Image Captioning with Attributes - Semantic Scholar

Boosting Image Captioning with Attributes · Ting Yao, Yingwei Pan, +2 authors. Tao Mei · Published in IEEE International Conference… 5 November 2016 · Computer ...

Boosting Image Captioning with Attributes | Request PDF

In this paper, we propose a bottom-up gated hierarchical attention (GHA) mechanism for image captioning. Our proposed model employs a CNN as the decoder which ...

Boosting Image Captioning with Attributes | Request PDF

Request PDF | Boosting Image Captioning with Attributes | Automatically describing an image with a natural language has been an emerging challenge in both ...

DIFNet: Boosting Visual Information Flow for Image Captioning

Instead of using concepts, attributes, and tags, we use the segmentation feature as the second information stream to enhance the visual representation. Panoptic ...

Boosting convolutional image captioning with semantic content and ...

Image captioning aims to display automatically the natural language sentence for the image by the computer, which is an important but a challenging task which ...

FaceGemma: Enhancing Image Captioning with Facial Attributes for ...

Based on the attributes and captions supplied in FaceAttDB, we created a new description dataset where each description perfectly depicts the ...

RefCap: image captioning with referent objects attributes - Nature

The model consists of three modules including: (i) visual grounding, (ii) referring object selection, and (iii) image captioning modules. To ...

Attribute-driven Attention Model for Image Captioning - IJCAI

Attribute-based approaches aim at boosting the performance of a captioning model with the more high-level semantic information. You et al. [2016] proposed a ...

Image Captioning with Attribute Refinement - IEEE Xplore

Abstract: Semantic attention has long been adopted to image captioning models to enhance the image captioning performances. The models pre-trained for ...

Boost image captioning with knowledge reasoning | Machine Learning

Most of the existing attention methods explore the mapping relationships between words in sentence and regions in image, such unpredictable ...

A new attributes predicting approach for fine-grained image captioning

While previous attribute-driven image captioning models have shown improvements, challenges remain, such as the independence of attribute ...

Boosting convolutional image captioning with semantic content and ...

35 References ; Boosting Image Captioning with Attributes · Ting YaoYingwei PanYehao LiZhaofan QiuTao Mei · 2017 IEEE International Conference on Computer…

Boosted Transformer for Image Captioning - MDPI

Image captioning attempts to generate a description given an image, usually taking Convolutional Neural Network as the encoder to extract the visual ...

A Neural Compositional Paradigm for Image Captioning - NIPS papers

Boosting image captioning with attributes. arXiv preprint arXiv:1611.01646, 2016. 10. Page 11. [21] Ying Hua Tan and Chee Seng Chan. phi-lstm: a phrase-based ...

Detailed Image Captioning

However, attributes "short hair" and "plaid shirt" do not get boosted from the insertion network. We hypothesize that this is due to a dataset ...