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Found 4 papers, 1 papers with code
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
In this paper, we propose a Transformer-style copy-move forgery detection network named as CMFDFormer, and provide a novel PCSD (Pooled Cube and Strip Distillation) continual learning framework to help CMFDFormer handle new tasks.
Quadric Representations for LiDAR Odometry, Mapping and Localization
Current LiDAR odometry, mapping and localization methods leverage point-wise representations of 3D scenes and achieve high accuracy in autonomous driving tasks.
Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue
The first stage is a backbone self deep matching network, and the second stage is named as Proposal SuperGlue.
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
Specifically, we propose a two-stage kin-face generation model to predict the appearance of a child given a pair of parents.
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