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Found 15 papers, 5 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.
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
In this paper, we propose Jasmine, the first Stable Diffusion (SD)-based self-supervised framework for monocular depth estimation, which effectively harnesses SD's visual priors to enhance the sharpness and generalization of unsupervised prediction.
DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark
Next, a training instruction set is produced based on some high-quality remote sensing images selected from the proposed dataset.
DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model
The ability of this world model to capture the evolution of the environment is crucial for planning in autonomous driving.
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
However, existing methods, both tuning-based and tuning-free, struggle with interpreting the subject-essential attributes from the visual prompt.
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
In this paper, we provide a systemic analysis of the diffusion formulation for the dense prediction, focusing on both quality and efficiency.
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
To address this, we pioneer the Test-Time Adaptation (TTA) in rPPG, enabling the adaptation of pre-trained models to the target domain during inference, sidestepping the need for annotations or source data due to privacy considerations.
DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection
In order to improve the detection accuracy of densely overlapping small targets and fuzzy targets, this paper proposes a dynamic-attention scale-sequence fusion algorithm (DASSF) for small target detection in aerial images.
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.
Multimedia
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.
