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Found 7 papers, 1 papers with code
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics
Achieving an effective fine-grained appearance variation over 2D facial images, whilst preserving facial identity, is a challenging task due to the high complexity and entanglement of common 2D facial feature encoding spaces.
Racial Bias within Face Recognition: A Survey
Facial recognition is one of the most academically studied and industrially developed areas within computer vision where we readily find associated applications deployed globally.
Does lossy image compression affect racial bias within face recognition?
Yes - This study investigates the impact of commonplace lossy image compression on face recognition algorithms with regard to the racial characteristics of the subject.
Measuring Hidden Bias within Face Recognition via Racial Phenotypes
We use the set of observable characteristics of an individual face where a race-related facial phenotype is hence specific to the human face and correlated to the racial profile of the subject.
RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
Since locating of a target using simultaneous multiple UAVs is costly and impractical, achieving this task by utilizing single UAV becomes desirable.
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Whilst face recognition applications are becoming increasingly prevalent within our daily lives, leading approaches in the field still suffer from performance bias to the detriment of some racial profiles within society.
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning
This paper proposes a new 3D Human Action Recognition system as a two-phase system: (1) Deep Metric Learning Module which learns a similarity metric between two 3D joint sequences using Siamese-LSTM networks; (2) A Multiclass Classification Module that uses the output of the first module to produce the final recognition output.
