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Face Image Retrieval

Face image retrieval is the task of retrieving faces similar to a query, according to the given criteria (e.g. identity) and rank them using their distances to the query.

( Image credit: CP-mtML )

Papers

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Showing 1–15 of 15 papers

TitleStatusHype
Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image RetrievalCode1
Sketch Less Face Image Retrieval: A New ChallengeCode1
Achieving Better Kinship Recognition Through Better BaselineCode0
Orthonormal Product Quantization Network for Scalable Face Image RetrievalCode0
Face Image Retrieval With Attribute Manipulation—0
FaIRCoP: Facial Image Retrieval using Contrastive Personalization—0
From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval—0
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval—0
Similarity Guided Deep Face Image Retrieval—0
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval—0
Survey on Sparse Coded Features for Content Based Face Image Retrieval—0
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction—0
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval—0
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