Titlebook: Computer Vision – ECCV 2018; 15th European Confer Vittorio Ferrari,Martial Hebert,Yair Weiss Conference proceedings 2018 Springer Nature Sw

逗留

obsolete

放肆的你

https://doi.org/10.1007/978-3-030-01246-5computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; imag

苦恼

思想流动

MUT

abreast

Meeting Point of the East and the Westove directly to a layer that can distinguish fine-grained differences? Currently, a network would first need to execute sometimes hundreds of intermediate layers that specialize in unrelated aspects. Ideally, the more a network already knows about an image, the better it should be at deciding which

IST

Meeting Point of the East and the West based on reinforcement learning and evolutionary algorithms. Our approach uses a sequential model-based optimization (SMBO) strategy, in which we search for structures in order of increasing complexity, while simultaneously learning a surrogate model to guide the search through structure space. Dir

Anecdote