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Found 11 papers, 0 papers with code
Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
Conventional imaging diagnostics frequently encounter bottlenecks due to manual inspection, which can lead to delays and inconsistencies.
Quantization Effects on Neural Networks Perception: How would quantization change the perceptual field of vision models?
Neural network quantization is an essential technique for deploying models on resource-constrained devices.
Insights into Classifying and Mitigating LLMs' Hallucinations
The widespread adoption of large language models (LLMs) across diverse AI applications is proof of the outstanding achievements obtained in several tasks, such as text mining, text generation, and question answering.
Automatic diagnosis of knee osteoarthritis severity using Swin transformer
Knee osteoarthritis (KOA) is a widespread condition that can cause chronic pain and stiffness in the knee joint.
An Inter-observer consistent deep adversarial training for visual scanpath prediction
The visual scanpath is a sequence of points through which the human gaze moves while exploring a scene.
Deep-based quality assessment of medical images through domain adaptation
Predicting the quality of multimedia content is often needed in different fields.
A domain adaptive deep learning solution for scanpath prediction of paintings
Cultural heritage understanding and preservation is an important issue for society as it represents a fundamental aspect of its identity.
Self Supervised Scanpath Prediction Framework for Painting Images
In our paper, we propose a novel strategy to learn distortion invariant latent representation from painting pictures for visual attention modelling downstream task.
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images
The key setup of our architecture is the simultaneous prediction of the saliency map and a corresponding scanpath for a given stimulus.
A Simple and efficient deep Scanpath Prediction
Visual scanpath is the sequence of fixation points that the human gaze travels while observing an image, and its prediction helps in modeling the visual attention of an image.
SALYPATH: A Deep-Based Architecture for visual attention prediction
Human vision is naturally more attracted by some regions within their field of view than others.
