Scene Classification
Scene Classification is a task in which scenes from photographs are categorically classified. Unlike object classification, which focuses on classifying prominent objects in the foreground, Scene Classification uses the layout of objects within the scene, in addition to the ambient context, for classification.
Source: Scene classification with Convolutional Neural Networks
Papers
Showing 1–25 of 453 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | µ2Net+ (ViT-L/16) | Accuracy (%) | 100 | — | Unverified |
| 2 | AGOS | Accuracy (%) | 99.88 | — | Unverified |
| 3 | LSE-Net | Accuracy (%) | 99.78 | — | Unverified |
| 4 | ResNet50 | Accuracy (%) | 99.61 | — | Unverified |
| 5 | MSMatch | Accuracy (%) | 98.33 | — | Unverified |
| 6 | MIDC-Net | Accuracy (%) | 97.4 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | iSQRT-COV-Net (ResNet-50) | Top 1 Error | 43.68 | — | Unverified |
| 2 | WaveMix | Top 1 Error | 43.55 | — | Unverified |