Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Objective: To evaluate the effectiveness of various Large Language Models (LLMs) in identifying reli...
Zero-shot anomaly detection (ZSAD) requires detecting and localizing anomalies without access to tar...
Few-shot adaptation of vision-language models (VLMs) like CLIP typically relies on learning textual ...
One-shot styled handwriting image generation, despite achieving impressive results in recent years, ...
Vision-Language Models (VLMs) have achieved remarkable progress on a wide range of challenging multi...
Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, y...
We study how architectural inductive bias reshapes the implicit regularization induced by the edge-o...
Vision transformers have demonstrated remarkable success in classification by leveraging global self...
Prostate cancer being one of the frequently diagnosed malignancy in men, the rising demand for biops...
Diabetic Retinopathy (DR) requires timely screening to prevent irreversible vision loss. However, it...
Background and objective: Cell-level pathological image analysis requires working with extremely sma...
The CLIP model's outstanding generalization has driven recent success in Zero-Shot Anomaly Detection...
DINO models provide rich patch-level representations that have recently enabled strong performance i...
Joint estimation of surface normals and depth is essential for holistic 3D scene understanding, yet ...
The CLIP model's outstanding generalization has driven recent success in Zero-Shot Anomaly Detection...
Introduction: Recreational and medical cannabis use (CU) information is often available within the e...
Vision transformers have demonstrated outstanding performance on image generation applications, but ...
The nicotine addiction public health crisis continues to be pervasive. In this century alone, the to...
Accurately segmenting objects without any manual annotations remains one of the core challenges in c...
Rapid progress in vision-language modeling has enabled pathology report generation from gigapixel wh...
Decoupled dataset distillation (DD) compresses large corpora into a few synthetic images by matching...