Existing deep learning methods for fine-grained visual recognition often rely on large-scale, well-annotated training data. Obtaining fine-grained annotations in the wild typically requires ...

These findings suggest the importance of temporal coordination between hemispheres and demonstrate that the nature of hemispheric specialization in visual word recognition is contingent on the timing ...

The study, "Fast and robust visual object recognition in young children," is published in Science Advances. For the study, 3- to 5-year-old children were asked to identify objects from images ...

Most visual recognition studies rely heavily on crowd-labelled data in deep neural networks (DNNs) training, and they usually train a DNN for each single visual recognition task, leading to a ...