Interpretable Medical Image Diagnosis with Explicd
As deep learning continues to revolutionize medical imaging, one critical question keeps surfacing: how can we trust what the model
ViTPose : A simple yet powerful transformer baseline for Human Pose Estimation
ViTPose: Simple Vision Transformer Baselines for Human Pose EstimationAlthough no specific domain knowledge is considered in the design, plain vision
FreqyWM:
Invisible Watermarking based on frequency modulation
Introduction
In a digital age where data ownership and security are paramount, watermarking has
Prompt Depth Anything
Latest development in Depth Map Estimation with AI.
Introduction
In recent years, the field of artificial intelligence has made significant
Revolutionizing Cancer Diagnosis with the CHIEF Foundation Model
Introduction
Cancer diagnosis and prognosis prediction have long relied on histopathology image evaluation, a labor-intensive process that requires expert pathologists
BiasPruner: Debiased Continual Learning for Medical Image Classification
Continual Learning (CL) is pivotal for enabling neural networks to adapt dynamically by learning tasks sequentially without forgetting prior knowledge.
StoryMaker
StoryMaker: A Holistic Approach to Character Consistency
The landscape of text-to-image generation has witnessed rapid advancements with models like DALL-E
Wavelet Diffusion Models are fast and scalable Image Generators
In today's blogpost, we will discuss about a recent paper published in the CVPR 2023 conference by VinAI
Exploring Kolmogorov-Arnold Networks (KANs)
Introduction
The Kolmogorov-Arnold Network (KAN) represents a significant advancement in neural network architecture, leveraging the powerful Kolmogorov-Arnold representation theorem. This
MAXVIT-UNET: MULTI-AXIS ATTENTION FOR MEDICAL IMAGE SEGMENTATION
Since their emergence, Convolutional Neural Networks (CNNs) have significantly advanced medical image analysis but struggle with capturing global interactions. Transformers
