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Št. zadetkov: 7
Video in druga učna gradiva
Oznake: computer science;semantic web;annotation;applications;software and tools
Leto: 2014 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision
Feature extraction, coding and pooling, are important components on many contemporary object recognition paradigms. In this paper we explore novel pooling techniques that encode the second-order statistics of local descriptors inside a region. To achieve this effect, we introduce multiplicative seco ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision;machine learning;clustering
We define a good image cluster as one in which images can be easily composed (like a puzzle) using pieces from each other, while are difficult to compose from images outside the cluster. The larger and more statistically significant the pieces are, the stronger the affinity between the images. This ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision
ImageNet is a large-scale hierarchical database of object classes. We propose to automatically populate it with pixelwise segmentations, by leveraging existing manual annotations in the form of class labels and bounding-boxes. The key idea is to recursively exploit images segmented so far to guide t ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision;shape analysis
We introduce a category-independent shape prior for object segmentation. Existing shape priors assume class-specific knowledge, and thus are restricted to cases where the object class is known in advance. The main insight of our approach is that shapes are often shared between objects of different c ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision
We propose a novel three-layered approach for semantic segmentation of building facades. In the first layer, starting from an oversegmentation of a facade, we employ the recently introduced machine learning technique Recursive Neural Networks (RNN) to obtain a probabilistic interpretation of each se ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 7
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