Remote Sensing Image Scene Classification on UC Merced (test)
58.641-shot AccuracyDCN (Ours)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DCN (Ours)Type=Transfer, Backbone=ResNet-122026.03 | 58.64 | 76.61 | |
| SPNetType=Metric, Backbone=ResNet-182026.03 | 57.64 | 73.52 | |
| PSMType=Metric, Backbone=ResNet-122026.03 | 54.35 | 71.86 | |
| DeepDBCType=Transfer, Backbone=ResNet-122026.03 | 54.2 | 71.94 | |
| DLA-MatchNetType=Metric, Backbone=Conv2026.03 | 53.76 | 63.01 | |
| ProtoNetType=Metric, Backbone=ResNet-122026.03 | 53.15 | 71.54 | |
| S2M2Type=Transfer, Backbone=ResNet-122026.03 | 52.16 | 67.38 | |
| deepEMDType=Metric, Backbone=ResNet-122026.03 | 52.11 | 69.82 | |
| SCL-MLNetType=Metric, Backbone=Conv2026.03 | 51.37 | 68.09 | |
| FRNType=Metric, Backbone=ResNet-122026.03 | 51.14 | 65.46 | |
| MatchingNetType=Metric, Backbone=ResNet-122026.03 | 50.99 | 57.14 | |
| MAMLType=Optimization, Backbone=ResNet-122026.03 | 50.23 | 62.02 | |
| RelationNetType=Metric, Backbone=ResNet-122026.03 | 49.18 | 63.64 | |
| LLSRType=Optimization, Backbone=Conv2026.03 | 39.47 | 57.4 |