In the history of every nation, there are certain turning points that end up altering the entire course of where it’s headed. The thing is, you never truly grasp their significance until long after ...

We often blame ourselves for failing to act in the face of unfathomable suffering. But research in psychology, sociology, and ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Syria is becoming friendlier to the United States and Israel under its new regime, according to a new survey revealing an uptick in favorable views among Syrians towards the two countries.

Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Joel Santo Domingo Joel Santo Domingo is a writer focused on networking and ...

Abstract: Image normalization strategies for 3-D synthetic aperture sonar (SAS) is a relatively underexplored area for target classification leveraging convolutional neural networks (CNNs). For 3-D ...

Baggage screening is crucial for airport security. This paper examines various algorithms for firearm detection in X-ray images of baggage. The focus is on identifying steel barrel bores, which are ...

Saudi Arabia has long been perceived in the Arab world as a champion of the Palestinian cause, but developments over the past two decades suggest an imminent transformation. Sada is an online journal ...

Hi @cheng-chi, this work is incredible! I read the code carefully and I have a doubt about image normalization. For example, in real_pusht_image_dataset.py, the following code normalizes the image to ...