UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene.

Knowledge graph embedding based on embedding permutation and high-frequency feature fusion for link prediction.

MTED: multiple teachers ensemble distillation for compact semantic segmentation.

Channel Correlation Distillation for Compact Semantic Segmentation.

Local structure consistency and pixel-correlation distillation for compact semantic segmentation.

Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection.

Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection.

Autoencoder framework based on orthogonal projection constraints improves anomalies detection.

Mixture of experts with convolutional and variational autoencoders for anomaly detection.