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Found 10 papers, 1 papers with code
Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
This study contributes to the advancement of synthetic image detection by exploiting the capabilities of visual language models such as BLIP-2 and ViTGPT2.
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
Advancements in deep image synthesis techniques, such as generative adversarial networks (GANs) and diffusion models (DMs), have ushered in an era of generating highly realistic images.
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans
Since the emergence of Covid-19 in late 2019, medical image analysis using artificial intelligence (AI) has emerged as a crucial research area, particularly with the utility of CT-scan imaging for disease diagnosis.
Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging
These representations are optimized for two tasks: estimating pain intensity and differentiating between genuine and simulated pain expressions.
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review
In the recent years, hyperspectral imaging (HSI) has gained considerably popularity among computer vision researchers for its potential in solving remote sensing problems, especially in agriculture field.
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation
The proposed D-TrAttUnet architecture is evaluated for both Binary and Multi-classes Covid-19 infection segmentation.
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans
CT-scan imaging is the most informative tool about this disease.
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan
On the other hand, we proposed an ensemble of Convolutional Layers with Inception models for Covid-19 severity detection.
Multi-view Deep Features for Robust Facial Kinship Verification
We refer that we used the SSC method in RFIW'20 competition using the eight deep features concatenation.
Facial age estimation using BSIF and LBP
Human face aging is irreversible process causing changes in human face characteristics such us hair whitening, muscles drop and wrinkles.
