Visual spatial description: Controlled spatial-oriented image-to-text generation
Image-to-text tasks, such as open-ended image captioning and controllable image
description, have received extensive attention for decades. Here, we further advance this …
description, have received extensive attention for decades. Here, we further advance this …
Deep Image Synthesis, Analysis and Indexing using Integrated CNN Architectures
The excessive use of Internet technology is leading to a massive increase in multimedia
content. Fast and effective image retrieval over a wide range of databases is a difficult task in …
content. Fast and effective image retrieval over a wide range of databases is a difficult task in …
Enhancing image retrieval through entropy-based deep metric learning
The increasing demand for effective retrieval from image datasets has been driven by the
rapid growth of digital images. Image retrieval is a method for creating a structured database …
rapid growth of digital images. Image retrieval is a method for creating a structured database …
A Method for Visual Spatial Description Based on Large Language Model Fine-tuning
J Wang, F Gao, J Tang, S Li, H Zheng, S Ma… - Proceedings of the …, 2024 - dl.acm.org
In recent years, the task of image-to-text generation has received considerable attention
from scholars. One of its subtasks, Visual Spatial Description (VSD), focuses on a model's …
from scholars. One of its subtasks, Visual Spatial Description (VSD), focuses on a model's …
Synthetic Data Generation in Cybersecurity: A Comparative Analysis
DA Ammara, J Ding, K Tutschku - arXiv preprint arXiv:2410.16326, 2024 - arxiv.org
Synthetic data generation faces significant challenges in accurately replicating real data,
particularly with tabular data, where achieving high fidelity and utility is critical. While …
particularly with tabular data, where achieving high fidelity and utility is critical. While …
Reverse Image Search for Collage: A Novel Local Feature-Based Framework
Collage, a popular form of visual-content summarization technique is commonly used by
internet users and digital artists. Social media usage is a rising trend that significantly affects …
internet users and digital artists. Social media usage is a rising trend that significantly affects …
Efficient rotated and scaled digital image retrieval model using deep learning-based hybrid features extraction
The previous couple decades have seen extensive study in digital image recovery. Content-
based image retrieval finds intellectually and aesthetically similar images to the query …
based image retrieval finds intellectually and aesthetically similar images to the query …
[PDF][PDF] Design a Framework for Content Based Image Retrieval Using Hybrid Features Analysis.
Accepted: 2 October 2021 In recent years, scholars have found content-based image
recovery to be a particularly interesting and exciting field. This field develops quick image …
recovery to be a particularly interesting and exciting field. This field develops quick image …
Moving Target Detection Algorithm Based on SIFT Feature Matching
K Song, F Zhu, L Song - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
After the computer technology is mature, the sequence images obtained from the camera
are processed by the computer, and the images converted into digital signals are processed …
are processed by the computer, and the images converted into digital signals are processed …
Color and Texture Based Similarity Search to Enable Secure Image Sharing on Social Media Platforms
J Madake, A Shrikhande… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
Image retrieval plays a significant role in various fields, with applications in medicine and
healthcare, e-commerce, art and culture, and social media. This study proposes a novel …
healthcare, e-commerce, art and culture, and social media. This study proposes a novel …