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Found 6 papers, 2 papers with code
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection
To address this issue, we propose a Spatial-Frequency Dynamic Graph method to exploit the relation-aware features in spatial and frequency domains via dynamic graph learning.
Balanced Knowledge Distillation for Long-tailed Learning
Existing methods usually modify the classification loss to increase the learning focus on tail classes, which unexpectedly sacrifice the performance on head classes.
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification
Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric.
PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution
Generative Adversarial Networks (GAN) have been employed for face super resolution but they bring distorted facial details easily and still have weakness on recovering realistic texture.
Dense Semantic and Topological Correspondence of 3D Faces without Landmarks
The dense correspondence goal is revisited in two perspectives: semantic and topological correspondence.
Key Person Aided Re-identification in Partially Ordered Pedestrian Set
Ideally person re-identification seeks for perfect feature representation and metric model that re-identify all various pedestrians well in non-overlapping views at different locations with different camera configurations, which is very challenging.
