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Found 5 papers, 1 papers with code
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
However, for medical images with small dataset sizes, deep learning methods struggle to achieve better results on real-world image datasets.
RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection
Meanwhile, in the 4-D radar stream, a newly designed component named radar PillarNet efficiently encodes the radar features to generate radar pseudo-images, which are fed into the point cloud backbone to create radar BEV features.
Ranked #4 on
3D Object Detection (RoI)
on View-of-Delft (val)
Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction
To this end, we formulate a deep virtual to real distillation framework by introducing the synthetic data that can be generated conveniently, and borrow the abundant information of pedestrian movement in synthetic videos for the pedestrian crossing prediction in real data with a simple and lightweight implementation.
TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving
The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential for 3D sensing in autonomous driving.
Spread-gram: A spreading-activation schema of network structural learning
Inspired by a cognitive model of human memory, we propose a network representation learning scheme.
