# R-MNIST

Source: [R-MNIST](<https://www.sota2.com/research/dataset/r-mnist>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Benchmarks

Page 1 of 1. This is an index page, not the full collection.

- [Image Classification on R-MNIST Domain-IL](<https://www.sota2.com/research/sota/image-classification-on-r-mnist-domain-il.md>): Image Classification; R-MNIST Domain-IL.

- [Domain-Incremental Learning on R-MNIST](<https://www.sota2.com/research/sota/domain-incremental-learning-on-r-mnist.md>): Domain-Incremental Learning; R-MNIST.

- [Image Classification on R-MNIST](<https://www.sota2.com/research/sota/image-classification-on-r-mnist.md>): Image Classification; R-MNIST.

- [Image Classification on Color-MNIST case (iii) (test)](<https://www.sota2.com/research/sota/image-classification-on-color-mnist-case-iii-test.md>): Image Classification; Color-MNIST case (iii) (test).

- [Classification on R. MNIST](<https://www.sota2.com/research/sota/classification-on-r-mnist.md>): Classification; R. MNIST.

- [Image Classification on Color-MNIST Class-prior Shift 100 (test)](<https://www.sota2.com/research/sota/image-classification-on-color-mnist-class-prior-shift-100-test.md>): Image Classification; Color-MNIST Class-prior Shift 100 (test).

- [Image Classification on Color-MNIST Class-prior Shift 10 (test)](<https://www.sota2.com/research/sota/image-classification-on-color-mnist-class-prior-shift-10-test.md>): Image Classification; Color-MNIST Class-prior Shift 10 (test).

- [Image Classification on Color-MNIST Label Noise 0.4 (test)](<https://www.sota2.com/research/sota/image-classification-on-color-mnist-label-noise-0-4-test.md>): Image Classification; Color-MNIST Label Noise 0.4 (test).

- [Image Classification on Color-MNIST Label Noise 0.2 (test)](<https://www.sota2.com/research/sota/image-classification-on-color-mnist-label-noise-0-2-test.md>): Image Classification; Color-MNIST Label Noise 0.2 (test).