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Found 5 papers, 1 papers with code
Trading-off Mutual Information on Feature Aggregation for Face Recognition
The consistent improvement we observed in these benchmarks demonstrates the efficacy of our approach in enhancing FR performance.
Multi-Context Dual Hyper-Prior Neural Image Compression
In addition, we introduce a novel entropy model that incorporates two different hyperpriors to model cross-channel and spatial dependencies of the latent representation.
AAFACE: Attribute-aware Attentional Network for Face Recognition
In this paper, we present a new multi-branch neural network that simultaneously performs soft biometric (SB) prediction as an auxiliary modality and face recognition (FR) as the main task.
Frequency Disentangled Features in Neural Image Compression
The design of a neural image compression network is governed by how well the entropy model matches the true distribution of the latent code.
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification
The main challenge in training deep neural networks is the lack of sufficient data to improve the model's generalization and avoid overfitting.
