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Found 7 papers, 5 papers with code
JointMotion: Joint Self-supervision for Joint Motion Prediction
We present JointMotion, a self-supervised learning method for joint motion prediction in autonomous driving.
RedMotion: Motion Prediction via Redundancy Reduction
Predicting the future motion of traffic agents is vital for self-driving vehicles to ensure their safe operation.
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
In self-driving applications, LiDAR data provides accurate information about distances in 3D but lacks the semantic richness of camera data.
LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
Therefore, datasets used to train perception models of ITS must contain a significant number of vulnerable road users.
Self-supervised pseudo-colorizing of masked cells
Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning.
CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection
We propose a novel hybrid CNN-ViT model for cell detection in microscopy images to exploit the advantages of both types of deep learning models.
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring
Since the number of available 3D microscopy images is typically limited in applications, we take a different approach and introduce a small CNN for volumetric cell segmentation.
