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Found 8 papers, 4 papers with code
Dual Capsule Attention Mask Network with Mutual Learning for Visual Question Answering
The attention mechanism can highlight fine-grained features with critical information, thus ensuring that feature extraction emphasizes the objects related to the questions.
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
In this paper, we introduce a detailed framework designed to detect and assess the presence of content from potentially copyrighted books within the training datasets of LLMs.
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
The recent advancements in text-to-3D generation mark a significant milestone in generative models, unlocking new possibilities for creating imaginative 3D assets across various real-world scenarios.
ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization
The ReLoc framework mainly consists of an image restoration module and a tampering localization module.
Robust Coordinated Longitudinal Control of MAV Based on Energy State
Fixed-wing Miniature Air Vehicle (MAV) is not only coupled with longitudinal motion, but also more susceptible to wind disturbance due to its lighter weight, which brings more challenges to its altitude and airspeed controller design.
Localization of Deep Inpainting Using High-Pass Fully Convolutional Network
The proposed method employs a fully convolutional network that is based on high-pass filtered image residuals.
Detection of Deep Network Generated Images Using Disparities in Color Components
In this paper, we address the problem of detecting deep network generated (DNG) images by analyzing the disparities in color components between real scene images and DNG images.
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Image Processing Operations Identification via Convolutional Neural Network
The extensive results show that the proposed method can outperform the currently best method based on hand crafted features and three related methods based on CNN for image steganalysis and/or forensics, achieving the state-of-the-art results.
