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Found 4 papers, 1 papers with code
DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights
Experimental results demonstrate that our method enhances the expressive capacity of existing point cloud models and effectively addresses the issue of information leakage.
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
The scarcity of annotated data has sparked significant interest in unsupervised pre-training methods that leverage medical reports as auxiliary signals for medical visual representation learning.
General Point Model with Autoencoding and Autoregressive
This model is versatile, allowing fine-tuning for downstream point cloud representation tasks, as well as unconditional and conditional generation tasks.
MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection
In addition, our MFFN exploits the dependence and interaction between views and channels.
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