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Found 4 papers, 1 papers with code
ResNet After All: Neural ODEs and Their Numerical Solution
If the trained model is supposed to be a flow generated from an ODE, it should be possible to choose another numerical solver with equal or smaller numerical error without loss of performance.
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
We therefore propose to improve the established semantic image synthesis evaluation scheme by analyzing separately the performance of generated images on the biased and unbiased classes for the given segmentation network.
When are Neural ODE Solutions Proper ODEs?
If the trained model is supposed to be a flow generated from an ODE, it should be possible to choose another numerical solver with equal or smaller numerical error without loss of performance.
Grid Saliency for Context Explanations of Semantic Segmentation
Recently, there has been a growing interest in developing saliency methods that provide visual explanations of network predictions.
