Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

方舟

Label-Similarity Curriculum Learning,ch for image classification that adapts the loss function by changing the label representation..The idea is to use a probability distribution over classes as target label, where the class probabilities reflect the similarity to the true class. Gradually, this label representation is shifted towards

geometrician

Instantaneous

拍翅

預(yù)兆好

剛毅

Differentiable Joint Pruning and Quantization for Hardware Efficiency,roblem, trading off between model pruning and quantization automatically for hardware efficiency. DJPQ incorporates variational information bottleneck based structured pruning and mixed-bit precision quantization into a single differentiable loss function. In contrast to previous works which conside

relieve

CANE

LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Usindate the inherent differences in appearance between real images and DEMs, we train a cross-domain feature descriptor using Structure From Motion (SFM) guided reconstructions to acquire training data. Our method runs efficiently on a mobile device and outperforms existing learned and hand-designed fe

Systemic

Virtues