Panoptic Segmentation-Based Attention for Image Captioning

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Image Captioning with Attention

In the past few years, neural networks have fueled dramatic advances in image classi cation. Emboldened, researchers are looking for more challenging applications for computer vision and arti cial intelligence systems. They seek not only to assign numerical labels to input data, but to describe the world in human terms. Image and video captioning is among the most popular applications in this t...

متن کامل

Image Captioning using Visual Attention

This project aims at generating captions for images using neural language models. There has been a substantial increase in number of proposed models for image captioning task since neural language models and convolutional neural networks(CNN) became popular. Our project has its base on one of such works, which uses a variant of Recurrent neural network coupled with a CNN. We intend to enhance t...

متن کامل

Text-Guided Attention Model for Image Captioning

Visual attention plays an important role to understand images and demonstrates its effectiveness in generating natural language descriptions of images. On the other hand, recent studies show that language associated with an image can steer visual attention in the scene during our cognitive process. Inspired by this, we introduce a text-guided attention model for image captioning, which learns t...

متن کامل

Panoptic Segmentation

We propose and study a novel ‘Panoptic Segmentation’ (PS) task. Panoptic segmentation unifies the traditionally distinct tasks of instance segmentation (detect and segment each object instance) and semantic segmentation (assign a class label to each pixel). The unification is natural and presents novel algorithmic challenges not present in either instance or semantic segmentation when studied i...

متن کامل

Attention Correctness in Neural Image Captioning

Attention Map Visualization We visualize the attention maps of both the implicit attention model and our supervised attention model on the Flickr30k test set. As mentioned in the paper, 909 noun phrases are aligned for the implicit model and 901 for the supervised model. 635 of these alignments are common for both, and 595 of them have corresponding bounding boxes. Here we present a subset due ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Applied Sciences

سال: 2020

ISSN: 2076-3417

DOI: 10.3390/app10010391