computer-vision-10
Attentive segmentation networks
3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in attentive-segmentation-networks-10
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find attentive-segmentation-networks-10 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
Multi-Scale Self-Guided Attention for Medical Image Segmentation
Ashish Sinha, J. Dolz•Thu Jun 06 2019
Compared to other state-of-the-art segmentation networks, this model yields better segmentation performance, increasing the accuracy of the predictions while reducing the standard deviation, which demonstrates the efficiency of the approach to generate precise and reliable automatic segmentations of medical images.
485