Improving image classification using semantic attributes
Abstract The Bag-of-Words (BoW) model—commonly used for image classification—has two
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
[PDF][PDF] Improving Image Classification using Semantic Attributes
Y Su, F Jurie - Citeseer
Abstract The Bag-of-Words (BoW) model–commonly used for image classification–has two
strong limitations: on one hand, visual words lack semantic meanings, on the other hand …
strong limitations: on one hand, visual words lack semantic meanings, on the other hand …
Improving image classification using semantic attributes
Y Su, F Jurie - International Journal of Computer Vision, 2012 - go.gale.com
The Bag-of-Words (BoW) model--commonly used for image classification--has two strong
limitations: on one hand, visual words are lacking of explicit meanings, on the other hand …
limitations: on one hand, visual words are lacking of explicit meanings, on the other hand …
Improving Image Classification Using Semantic Attributes
Y Su, F Jurie - International Journal of Computer Vision, 2012 - infona.pl
The Bag-of-Words (BoW) model—commonly used for image classification—has two strong
limitations: on one hand, visual words are lacking of explicit meanings, on the other hand …
limitations: on one hand, visual words are lacking of explicit meanings, on the other hand …
Improving Image Classification Using Semantic Attributes
Y Su, F Jurie - International Journal of Computer Vision, 2012 - search.proquest.com
Abstract The Bag-of-Words (BoW) model--commonly used for image classification--has two
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
[引用][C] Improving Image Classification Using Semantic Attributes
YU SU, F JURIE - International journal of computer vision, 2012 - pascal-francis.inist.fr
Improving Image Classification Using Semantic Attributes CNRS Inist Pascal-Francis CNRS
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
[PDF][PDF] Improving Image Classification using Semantic Attributes
Y Su, F Jurie - jurie.users.greyc.fr
Abstract The Bag-of-Words (BoW) model–commonly used for image classification–has two
strong limitations: on one hand, visual words lack semantic meanings, on the other hand …
strong limitations: on one hand, visual words lack semantic meanings, on the other hand …
Improving Image Classification Using Semantic Attributes
Y Su, F Jurie - International Journal of Computer Vision, 2012 - hal.science
The Bag-of-Words (BoW) model-commonly used for image classification-has two strong
limitations: on one hand, visual words lack semantic meanings, on the other hand, they are …
limitations: on one hand, visual words lack semantic meanings, on the other hand, they are …
Improving Image Classification Using Semantic Attributes.
Y Su, F Jurie - International Journal of Computer Vision, 2012 - search.ebscohost.com
Abstract The Bag-of-Words (BoW) model-commonly used for image classification-has two
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
Improving Image Classification Using Semantic Attributes
Y Su, F Jurie - International Journal of Computer Vision, 2012 - dl.acm.org
The Bag-of-Words (BoW) model--commonly used for image classification--has two strong
limitations: on one hand, visual words are lacking of explicit meanings, on the other hand …
limitations: on one hand, visual words are lacking of explicit meanings, on the other hand …