Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Abstract: Object recognition and object identification are complex cognitive processes where information is integrated and processed by an extensive network of brain areas. However, although object ...

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

Abstract: The CenterNet recognition algorithm exhibits impressive performance in deep learning-based object recognition methods. Utilizing the DLA-34 as the backbone for object detection, it achieves ...

We take our understanding of where we are for granted, until we lose it. When we get lost in nature or a new city, our eyes and brains kick into gear, seeking familiar objects that tell us where we ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

The objective of this study was to validate equipment and procedures involved in implementing the novel object recognition (NOR) paradigm with young pigs. Two experiments were run with the intent of ...

ABSTRACT: The introduction of machine learning (ML) in the research domain is a new era technique. The machine learning algorithm is developed for frequency predication of patterns that are formed on ...

Introduction: If neuroscientists were asked which brain area is responsible for object recognition in primates, most would probably answer infero-temporal (IT) cortex. While IT is likely responsible ...