Face Image Retrieval
4 papers with code • 0 benchmarks • 0 datasets
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 )
Benchmarks
These leaderboards are used to track progress in Face Image Retrieval
Most implemented papers
Achieving Better Kinship Recognition Through Better Baseline
Recognizing blood relations using face images can be seen as an application of face recognition systems with additional restrictions.
Orthonormal Product Quantization Network for Scalable Face Image Retrieval
Experiments are conducted on four commonly-used face datasets under both seen and unseen identities retrieval settings.
Sketch Less Face Image Retrieval: A New Challenge
In this study, we proposed a new task named sketch less face image retrieval (SLFIR), in which the retrieval was carried out at each stroke and aim to retrieve the target face photo using a partial sketch with as few strokes as possible (see Fig. 1).
Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval
In specific scenarios, face sketch can be used to identify a person.