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Found 4 papers, 2 papers with code
Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
The goal of face recognition (FR) can be viewed as a pair similarity optimization problem, maximizing a similarity set $\mathcal{S}^p$ over positive pairs, while minimizing similarity set $\mathcal{S}^n$ over negative pairs.
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LAME: Layout Aware Metadata Extraction Approach for Research Articles
To accommodate the diversity of the layouts of academic journals, we propose a novel LAyout-aware Metadata Extraction (LAME) framework equipped with the three characteristics (e. g., design of an automatic layout analysis, construction of a large meta-data training set, and construction of Layout-MetaBERT).
Hierarchical Text Classification As Sub-Hierarchy Sequence Generation
Consequently, these models are challenging to implement when the model parameters increase for a large-scale hierarchy because the model structure depends on the hierarchy size.
MixFace: Improving Face Verification Focusing on Fine-grained Conditions
The performance of face recognition has become saturated for public benchmark datasets such as LFW, CFP-FP, and AgeDB, owing to the rapid advances in CNNs.
