# Image Classification on STL-10 (CA, BA, ASR) Source: [Image Classification on STL-10 (CA, BA, ASR)]() Collection index: [llms.txt]() Data updated: 2026-03-04T20:21:39.348Z Evaluation of Image Classification performance on the STL-10 dataset, reporting Classification Accuracy (CA), Balanced Accuracy (BA), and Average Success Rate (ASR). 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) | STL-10 | | Metric | Balanced Accuracy (BA) | | 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 - [Balanced Accuracy (BA)](): Higher is better; unit: PERCENT. - [Classification Accuracy (CA)](): Higher is better; unit: PERCENT. - [Average Success Rate (ASR)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Balanced Accuracy (BA) | Result date | Report paper | | --- | --- | --- | --- | | DSBA | 84.15 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | WaNet | 82.57 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | GhostEncoder | 81.34 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | CTRL | 80.14 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | IMPERATIVE | 77.63 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | DSBA | 76.52 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | GhostEncoder | 75.28 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | CTRL | 74.46 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | IMPERATIVE | 73.25 | Not recorded | 69a7bc7d2d603e6de3e3d462 | | WaNet | 72.17 | Not recorded | 69a7bc7d2d603e6de3e3d462 | ### DSBA Balanced Accuracy (BA): 84.15. Result ID: 69a8944f6dbb7075b9514d71. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"Tiny-ImageNet"}. This record does not assert independent reproduction. ### WaNet Balanced Accuracy (BA): 82.57. Result ID: 69a8944f6dbb7075b9514d6d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"Tiny-ImageNet"}. This record does not assert independent reproduction. ### GhostEncoder Balanced Accuracy (BA): 81.34. Result ID: 69a8944f6dbb7075b9514d6f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"Tiny-ImageNet"}. This record does not assert independent reproduction. ### CTRL Balanced Accuracy (BA): 80.14. Result ID: 69a8944f6dbb7075b9514d6e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"Tiny-ImageNet"}. This record does not assert independent reproduction. ### IMPERATIVE Balanced Accuracy (BA): 77.63. Result ID: 69a8944f6dbb7075b9514d70. [Reporting paper]() Recorded evaluation configuration: {"Pre-training Dataset":"Tiny-ImageNet"}. This record does not assert independent reproduction. ### DSBA Balanced Accuracy (BA): 76.52. Result ID: 69a8944f6dbb7075b9514d6b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"CIFAR-10"}. This record does not assert independent reproduction. ### GhostEncoder Balanced Accuracy (BA): 75.28. Result ID: 69a8944f6dbb7075b9514d69. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"CIFAR-10"}. This record does not assert independent reproduction. ### CTRL Balanced Accuracy (BA): 74.46. Result ID: 69a8944f6dbb7075b9514d68. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"CIFAR-10"}. This record does not assert independent reproduction. ### IMPERATIVE Balanced Accuracy (BA): 73.25. Result ID: 69a8944f6dbb7075b9514d6a. [Reporting paper]() Recorded evaluation configuration: {"Pre-training Dataset":"CIFAR-10"}. This record does not assert independent reproduction. ### WaNet Balanced Accuracy (BA): 72.17. Result ID: 69a8944f6dbb7075b9514d67. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"CIFAR-10"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.