Exploiting core knowledge for visual object recognition.
نویسندگان
چکیده
منابع مشابه
Exploiting semantic knowledge for robot object recognition
This paper presents a novel approach that exploits semantic knowledge to enhance the object recognition capability of autonomous robots. Semantic knowledge is a rich source of information, naturally gathered from humans (elicitation), which can encode both objects’ geometrical/appearance properties and contextual relations. This kind of information can be exploited in a variety of robotics skil...
متن کاملa computational visual neuroscience model for object recognition
in this study with the inspirations from both neuroscience and computer science, a combinatorial framework for object recognition was proposed having benefited from the advantages of both biologically-inspired hmax_s architecture model for feature extraction and extreme learning machine (elm) as a classifier. hmax model is a feed-forward hierarchical structure resembling the ventral pathway in ...
متن کاملExploiting Dynamic Aspects of Visual Perception for Object Recognition
[Burgi94] P.-Y. Burgi and T. Pun, " Asynchronous image analysis: using the relationship luminance-to-latency to improve segmentation " , J. Promising directions in active vision " , Int. [Thorpe90] S.J. Thorpe, " Spike arrival times: A highly efficient coding scheme for neural networks " , In: R. 12 The final result of the dynamic indexing process is a restricted set of hypotheses for each imag...
متن کاملExploiting Object Dynamics for Recognition and Control
This thesis explores a new approach to object recognition for active vision systems that integrates information across multiple observations of an object. The approach exploits the order relationship between successive frames to derive a classifier based on the characteristic motion of local features across visual sweeps. This motion model reveals structural information about the object that ca...
متن کاملExploiting Competition Relationship for Robust Visual Recognition
Joint learning of similar tasks has been a popular trend in visual recognition and proven to be beneficial. Between-task similarity often provides useful cues, such as feature sharing, for learning visual classifiers. By contrast, the competition relationship between visual recognition tasks (e.g., content independent writer identification and handwriting recognition) remains largely under-expl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Experimental Psychology: General
سال: 2017
ISSN: 1939-2222,0096-3445
DOI: 10.1037/xge0000270