# Image Classification on CIFAR-10-C CS-1 1.0 (test) Source: [Image Classification on CIFAR-10-C CS-1 1.0 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:51:50.805Z Evaluation of Image Classification performance on the CIFAR-10-C dataset version 1.0, specifically under the CS-1 corruption setting, using the test split. 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. | Scope | Recorded value | | --- | --- | | Task | Image Classification | | Dataset (including any stated split) | CIFAR-10-C CS-1 1.0 (test) | | Metric | Mean Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Mean Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Mean Accuracy | Result date | Report paper | | --- | --- | --- | --- | | DynACL-AIR | 80.98 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL | 79.77 | Not recorded | 68fa70f21e209131cea4e438 | | ACL-AIR | 79.49 | Not recorded | 68fa70f21e209131cea4e438 | | ACL | 79.15 | Not recorded | 68fa70f21e209131cea4e438 | | ACL-AIR | 78.55 | Not recorded | 68fa70f21e209131cea4e438 | | ACL-AIR | 76.65 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL-AIR | 76.62 | Not recorded | 68fa70f21e209131cea4e438 | | ACL | 76.57 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL-AIR | 75.7 | Not recorded | 68fa70f21e209131cea4e438 | | ACL | 74.04 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL | 73.92 | Not recorded | 68fa70f21e209131cea4e438 | | DynACL | 71.74 | Not recorded | 68fa70f21e209131cea4e438 | ### DynACL-AIR Mean Accuracy: 80.98. Result ID: 699181c93a6c314849089d2f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"DynACL-AIR","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL Mean Accuracy: 79.77. Result ID: 699181c93a6c314849089d2e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"DynACL","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL-AIR Mean Accuracy: 79.49. Result ID: 699181c93a6c314849089d2d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ACL-AIR","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL Mean Accuracy: 79.15. Result ID: 699181c93a6c314849089d2c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ACL","Finetuning procedure":"AFF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL-AIR Mean Accuracy: 78.55. Result ID: 699181c93a6c314849089d25. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ACL-AIR","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL-AIR Mean Accuracy: 76.65. Result ID: 699181c93a6c314849089d29. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"ACL-AIR","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL-AIR Mean Accuracy: 76.62. Result ID: 699181c93a6c314849089d27. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"DynACL-AIR","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL Mean Accuracy: 76.57. Result ID: 699181c93a6c314849089d24. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ACL","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL-AIR Mean Accuracy: 75.7. Result ID: 699181c93a6c314849089d2b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training":"DynACL-AIR","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### ACL Mean Accuracy: 74.04. Result ID: 699181c93a6c314849089d28. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"ACL","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL Mean Accuracy: 73.92. Result ID: 699181c93a6c314849089d26. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"DynACL","Finetuning procedure":"SLF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### DynACL Mean Accuracy: 71.74. Result ID: 699181c93a6c314849089d2a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training":"DynACL","Finetuning procedure":"ALF","Backbone":"ResNet-18"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.