While humans are observing their surroundings, their eyes tend to rapidly shift between different objects, people and details that catch their attention, pausing briefly on each one. In psychology, ...

A film crew documents a folk story-exquisite corpse combination by random Thai people; the story is reenacted.A film crew documents a folk story-exquisite corpse ...

Abstract: We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i) shape and ...

PROB adapts the Deformable DETR model by adding the proposed 'probabilistic objectness' head. In training, we alternate between distribution estimation (top right) and objectness likelihood ...

Mundane wayward space snowball, or extraterrestrial visitor? Astronomers believe that our solar system’s latest and only third ever confirmed interstellar visitor, 3I/ATLAS, is almost certainly a ...

This study aimed to evaluate the effectiveness of deep learning model in assisting dermatologists in classifying basal cell carcinoma (BCC) from seborrheic keratosis (SK). The goal was to assess ...

Object detection and recognition are fundamental tasks in computer vision, powering applications from self-driving cars to facial recognition. These techniques enable machines to locate and classify ...

Maximizing the reusability of learning objects through machine learning techniques has significantly transformed the landscape of e-learning systems. This progress has fostered authentic resource ...

Develoment of image recognition AI algorithms for flower-visiting arthropods has the potential to revolutionize the way we monitor pollinators. Ecologists need light-weight models that can be deployed ...

Abstract: If the robot is to interact with environment designed for humans it has to be able to cope with new objects in it’s surrounding, and not only to classify but also effectively localize ...

The ability to perceive visual objects with various types of transformations, such as rotation, translation, and scaling, is crucial for consistent object recognition. In machine learning, invariant ...

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