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Face Image Retrieval
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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.
<span style="color:grey; opacity: 0.6">( Image credit: CP-mtML )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Sketch Less Face Image Retrieval: A New Challenge
FaIRCoP: Facial Image Retrieval using Contrastive Personalization
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval
Similarity Guided Deep Face Image Retrieval
Orthonormal Product Quantization Network for Scalable Face Image Retrieval
From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback
Achieving Better Kinship Recognition Through Better Baseline
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval
Survey on Sparse Coded Features for Content Based Face Image Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.