Jan 1, 2008 · In this paper, we have argued for the necessity of an intermediate layer of semantic object parts, which can be used to interface the visual information with ...
Jan 1, 2008 · Appearance-based approaches to object recognition mostly rely on measuring the visual similarity of objects based on global or local ...
The idea of learning semantic object parts for object categorization is suggested by Leibe et al. [6] . They proposed to use co-location and co-activation, ...
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Apr 27, 2022 · In this paper, we argue that self-supervised learning of object parts is a solution to this issue. Object parts are generalizable: they are a priori ...
Missing: categorization. | Show results with:categorization.
of parts, as components of an object and as semantic categories, by naturally bridging images that zooms on a part or that contain the object as a whole.
Previous research has demonstrated that basic-level categories are associated with the parts of objects. Five experiments were conducted to investigate ...
Where, objects are modeled as flexible constellation of parts. The idea of learning semantic object parts for object categorization is suggested by Leibe et al.
Apr 22, 2013 · Abstract Recently, large scale image annotation datasets have been collected with millions of images and thousands of possible annotations.
Missing: categorization. | Show results with:categorization.
Feb 26, 2022 · We propose a novel unsupervised method to build visual semantics aware object hierarchy, aiming to get a classification model by learning from pure-visual ...
This work proposes a technique to train semantic part-based models of object classes from Google Images that encompass the appearance of parts and their ...