Scene Recognition on SUN 397 (test)
83.4Top-1 AccuracyGLA
Evaluation Results
| Method | Links | |
|---|---|---|
| GLAbackbone=ViT-B/162023.10 | 83.4 | |
| WiSE-FTbackbone=ViT-B/162023.10 | 82.9 | |
| End-to-end fine-tuningbackbone=ViT-B/162023.10 | 82.4 | |
| GLAbackbone=ViT-B/322023.10 | 81.2 | |
| WiSE-FTbackbone=ViT-B/322023.10 | 80.8 | |
| End-to-end fine-tuningbackbone=ViT-B/322023.10 | 80 | |
| Linear probebackbone=ViT-B/162023.10 | 78 | |
| Linear probebackbone=ViT-B/322023.10 | 75.6 | |
| Ours*Backbone=RGB Branch* + Sem Branch + G-RGB-H, Number of Parameters=~ 85 M2019.09 | 74.04 | |
| SDO (9 scales)Backbone=2xVGG-19, Number of Parameters=~ 276 M2019.09 | 73.41 | |
| VSADBackbone=2xVGG-19, Number of Parameters=~ 276 M2019.09 | 73 | |
| OursBackbone=RGB Branch + Sem Branch + G-RGB-H, Number of Parameters=~ 47 M2019.09 | 71.25 | |
| RGB Branch*Backbone=ResNet-50, Number of Parameters=~ 25 M2019.09 | 70.87 | |
| RGB BranchBackbone=ResNet-18, Number of Parameters=~ 12 M2019.09 | 67.65 | |
| SDO (1 scale)Backbone=2xVGG-19, Number of Parameters=~ 276 M2019.09 | 66.98 | |
| ZS_EnEvaluation Protocol=Zero-shot2023.11 | 65.91 | |
| Zero-shotbackbone=ViT-B/162023.10 | 64.8 | |
| CSBackbone=VGG-19, Number of Parameters=~ 143 M2019.09 | 64.53 | |
| CLIPBackbone=ViT-B/16, Evaluation Protocol=Zero-shot2023.11 | 62.62 | |
| Zero-shotbackbone=ViT-B/322023.10 | 62.2 | |
| CLIPBackbone=ViT-B/32, Evaluation Protocol=Zero-shot2023.11 | 62 | |
| ResNet-18Approach=CNN2025.03 | 62 | |
| WiGNetApproach=ViG2025.03 | 61 | |
| BagNetApproach=CNN2025.03 | 60 | |
| Isotropic ViGApproach=ViG2025.03 | 60 | |
| Pyramid ViGApproach=ViG2025.03 | 59 | |
| CLIPBackbone=RN101, Evaluation Protocol=Zero-shot2023.11 | 58.96 | |
| CLIPBackbone=RN50, Evaluation Protocol=Zero-shot2023.11 | 58.53 | |
| i-WiViGApproach=Ours2025.03 | 58 | |
| Places-CNN ftBackbone=Places-CNN, Number of Parameters=~ 62 M2019.09 | 56.2 | |
| Places-CNNBackbone=Places-CNN, Number of Parameters=~ 62 M2019.09 | 54.23 | |
| HybridNetBackbone=Places-CNN, Number of Parameters=~ 62 M2019.09 | 53.86 | |
| MOP-CNNBackbone=CaffeNet, Number of Parameters=~ 62 M2019.09 | 51.98 | |
| Semantic BranchBackbone=4 Conv, Number of Parameters=~ 2.6 M2019.09 | 51.32 | |
| DecafBackbone=AlexNet, Number of Parameters=~ 62 M2019.09 | 40.94 |