Computer vision-enhanced selection of geo-tagged photos on social network sites for land cover classification
… Our framework uses computer vision to analyse the content of geo-tagged photos on social
network sites to generate descriptive tags. These are used to train artificial neural networks to …
network sites to generate descriptive tags. These are used to train artificial neural networks to …
Position-guided text prompt for vision-language pre-training
Vision-Language Pre-Training (VLP) has shown promising capabilities to align image and
text pairs, facilitating a broad variety of cross-modal learning tasks. However, we observe that …
text pairs, facilitating a broad variety of cross-modal learning tasks. However, we observe that …
ViSpa (Vision Spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.
… In order to model vision-based mental … , vision-based representations obtained from
computer-vision DCNNs have received considerably less attention as compared to computer science…
computer-vision DCNNs have received considerably less attention as compared to computer science…
Learning deep structure-preserving image-text embeddings
This paper proposes a method for learning joint embeddings of images and text using a two-branch
neural network with multiple layers of linear projections followed by nonlinearities. …
neural network with multiple layers of linear projections followed by nonlinearities. …
Classroom slide narration system
… csns and the existing assistive systems—Automatic Alt-Text (aat) [30] and Tesseract ocr [26].
The proposed system generates a markup text, where each logical content is tagged with its …
The proposed system generates a markup text, where each logical content is tagged with its …
[图书][B] Digital image processing and analysis: human and computer vision applications with CVIPtools
SE Umbaugh - 2010 - books.google.com
… Divided into five major sections, this book provides the concepts and models required to
analyze digital images and develop computer vision and human consumption applications as …
analyze digital images and develop computer vision and human consumption applications as …
Medical Prescription Label Reading Using Computer Vision and Deep Learning
A Henry, R Sujee - Soft Computing for Problem Solving: Proceedings of …, 2023 - Springer
… reduced dimensions and then fed into two alternative architectures, CRNN alone and EAST
… to conventional text using these models. After obtaining the texts, the text is calculated using …
… to conventional text using these models. After obtaining the texts, the text is calculated using …
Learning transferable visual models from natural language supervision
… SOTA computer vision systems are trained to predict a fixed … from raw text about images
is a promising alternative which … We study performance on over 30 different computer vision …
is a promising alternative which … We study performance on over 30 different computer vision …
Learning audio-video modalities from image captions
… -text datasets, as images with alt-text captions can be easily obtained online. Obtaining
large-scale, high quality data for video in the form of text-video and text-… are suitable for text-audio …
large-scale, high quality data for video in the form of text-video and text-… are suitable for text-audio …
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Recent advances in text-to-image synthesis have led to large pretrained transformers with
excellent capabilities to generate visualizations from a given text. However, these models are …
excellent capabilities to generate visualizations from a given text. However, these models are …