# Image Classification on UC Merced (test) Source: [Image Classification on UC Merced (test)]() Collection index: [llms.txt]() Data updated: 2026-06-16T06:59:13.880Z Evaluation of Image Classification performance on the test split of the UC Merced dataset, reporting Accuracy. 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) | UC Merced (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 14 of 14 | | 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 - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | LG-ViT | 99.93 | Not recorded | 6a30d894d33dfb23e783cc3a | | CBAM+RDN | 99.82 | Not recorded | 6a30d894d33dfb23e783cc3a | | DenseNet-FCN | 99.5 | Not recorded | 6a30d894d33dfb23e783cc3a | | OURS | 99.04 | Not recorded | 6a30d894d33dfb23e783cc3a | | SAL-TS-Net | 98.9 | Not recorded | 6a30d894d33dfb23e783cc3a | | UrbanScape-Net | 98.83 | Not recorded | 6a30d894d33dfb23e783cc3a | | VGG-16-CapsNet | 98.81 | Not recorded | 6a30d894d33dfb23e783cc3a | | CGKD | 98.57 | Not recorded | 6a30d894d33dfb23e783cc3a | | MCKD | 98.22 | Not recorded | 6a30d894d33dfb23e783cc3a | | CNN+SWIN | 98.1 | Not recorded | 6a30d894d33dfb23e783cc3a | | GFNet-KD-E3C | 97.9 | Not recorded | 6a30d894d33dfb23e783cc3a | | CSAT | 97.86 | Not recorded | 6a30d894d33dfb23e783cc3a | | PairKD | 94.9 | Not recorded | 6a30d894d33dfb23e783cc3a | | GMN-KD | 92.62 | Not recorded | 6a30d894d33dfb23e783cc3a | ### LG-ViT Accuracy: 99.93. Result ID: 6a30f43efbc373592c2c9e7e. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### CBAM+RDN Accuracy: 99.82. Result ID: 6a30f43efbc373592c2c9e7b. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### DenseNet-FCN Accuracy: 99.5. Result ID: 6a30f43efbc373592c2c9e79. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### OURS Accuracy: 99.04. Result ID: 6a30f43efbc373592c2c9e85. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Type":"KD-Based"}. This record does not assert independent reproduction. ### SAL-TS-Net Accuracy: 98.9. Result ID: 6a30f43efbc373592c2c9e78. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### UrbanScape-Net Accuracy: 98.83. Result ID: 6a30f43efbc373592c2c9e7d. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### VGG-16-CapsNet Accuracy: 98.81. Result ID: 6a30f43efbc373592c2c9e7a. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### CGKD Accuracy: 98.57. Result ID: 6a30f43efbc373592c2c9e81. [Reporting paper]() Recorded evaluation configuration: {"Type":"KD-Based"}. This record does not assert independent reproduction. ### MCKD Accuracy: 98.22. Result ID: 6a30f43efbc373592c2c9e84. [Reporting paper]() Recorded evaluation configuration: {"Type":"KD-Based"}. This record does not assert independent reproduction. ### CNN+SWIN Accuracy: 98.1. Result ID: 6a30f43efbc373592c2c9e7f. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### GFNet-KD-E3C Accuracy: 97.9. Result ID: 6a30f43efbc373592c2c9e80. [Reporting paper]() Recorded evaluation configuration: {"Type":"KD-Based"}. This record does not assert independent reproduction. ### CSAT Accuracy: 97.86. Result ID: 6a30f43efbc373592c2c9e7c. [Reporting paper]() Recorded evaluation configuration: {"Type":"Non-KD-Based"}. This record does not assert independent reproduction. ### PairKD Accuracy: 94.9. Result ID: 6a30f43efbc373592c2c9e82. [Reporting paper]() Recorded evaluation configuration: {"Type":"KD-Based"}. This record does not assert independent reproduction. ### GMN-KD Accuracy: 92.62. Result ID: 6a30f43efbc373592c2c9e83. [Reporting paper]() Recorded evaluation configuration: {"Type":"KD-Based"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.