Visual Attributes

This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and fea...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Feris, Rogerio Schmidt (Επιμελητής έκδοσης), Lampert, Christoph (Επιμελητής έκδοσης), Parikh, Devi (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Advances in Computer Vision and Pattern Recognition,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction to Visual Attributes,- Part I: Attribute-Based Recognition
  • An Embarrassingly Simple Approach to Zero-Shot Learning
  • In the Era of Deep Convolutional Features: Are Attributes still Useful Privileged Data?
  • Divide, Share, and Conquer: Multi-Task Attribute Learning with Selective Sharing
  • Part II: Relative Attributes and their Application to Image Search
  • Attributes for Image Retrieval
  • Fine-Grained Comparisons with Attributes
  • Localizing and Visualizing Relative Attributes
  • Part III: Describing People Based on Attributes
  • Deep Learning Face Attributes for Detection and Alignment
  • Visual Attributes for Fashion Analytics
  • Part IV: Defining a Vocabulary of Attributes
  • A Taxonomy of Part and Attribute Discovery Techniques
  • The SUN Attribute Database: Organizing Scenes by Affordances, Materials, and Layout
  • Part V: Attributes and Language
  • Attributes as Semantic Units Between Natural Language and Visual Recognition
  • Grounding the Meaning of Words with Visual Attributes.