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