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Found 6 papers, 6 papers with code
Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer
Imitation Learning uses the demonstrations of an expert to uncover the optimal policy and it is suitable for real-world robotics tasks as well.
Residual Spatial Attention Network for Retinal Vessel Segmentation
In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation.
Dense Residual Network for Retinal Vessel Segmentation
But for other retinal imaging modalities, more research is needed to explore vascular extraction.
Channel Attention Residual U-Net for Retinal Vessel Segmentation
Retinal vessel segmentation is a vital step for the diagnosis of many early eye-related diseases.
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
The precise segmentation of retinal blood vessels is of great significance for early diagnosis of eye-related diseases such as diabetes and hypertension.
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Retinal Vessel Segmentation
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Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
Reinforcement Learning enables to train an agent via interaction with the environment.
