Retrieval on StanfordCars
7.86mAPCS3H
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CS3H# bits=96, Backbone=ResNet502026.05 | 7.86 | — | — | — | — | — | — | |
| CS3H# bits=96, Backbone=VGG162026.05 | 7.42 | — | — | — | — | — | — | |
| CS3H# bits=96, Backbone=ViT-L/162026.05 | 7.21 | — | — | — | — | — | — | |
| CS3H# bits=48, Backbone=ResNet502026.05 | 7.11 | — | — | — | — | — | — | |
| CS3H# bits=48, Backbone=VGG162026.05 | 6.75 | — | — | — | — | — | — | |
| CS3H# bits=48, Backbone=ViT-L/162026.05 | 6.46 | — | — | — | — | — | — | |
| CS3H# bits=32, Backbone=ResNet502026.05 | 6.33 | — | — | — | — | — | — | |
| CS3H# bits=32, Backbone=VGG162026.05 | 5.91 | — | — | — | — | — | — | |
| CS3H# bits=32, Backbone=ViT-L/162026.05 | 5.64 | — | — | — | — | — | — | |
| CS3H# bits=24, Backbone=ResNet502026.05 | 5.41 | — | — | — | — | — | — | |
| SPQ# bits=96, Backbone=ResNet502026.05 | 5.08 | — | — | — | — | — | — | |
| CS3H# bits=24, Backbone=VGG162026.05 | 5.05 | — | — | — | — | — | — | |
| CS3H# bits=24, Backbone=ViT-L/162026.05 | 4.88 | — | — | — | — | — | — | |
| SPQ# bits=48, Backbone=ResNet502026.05 | 4.32 | — | — | — | — | — | — | |
| SPQ# bits=32, Backbone=ResNet502026.05 | 3.57 | — | — | — | — | — | — | |
| SGH# bits=962026.05 | 3.22 | — | — | — | — | — | — | |
| SPQ# bits=24, Backbone=ResNet502026.05 | 3.02 | — | — | — | — | — | — | |
| CS3H# bits=12, Backbone=ResNet502026.05 | 2.94 | — | — | — | — | — | — | |
| SGH# bits=482026.05 | 2.73 | — | — | — | — | — | — | |
| CS3H# bits=12, Backbone=VGG162026.05 | 2.73 | — | — | — | — | — | — | |
| CS3H# bits=12, Backbone=ViT-L/162026.05 | 2.65 | — | — | — | — | — | — | |
| SGH# bits=322026.05 | 2.01 | — | — | — | — | — | — | |
| SPQ# bits=12, Backbone=ResNet502026.05 | 1.86 | — | — | — | — | — | — | |
| SGH# bits=242026.05 | 1.57 | — | — | — | — | — | — | |
| SGH# bits=122026.05 | 0.94 | — | — | — | — | — | — | |
| CMIC2026.03 | — | 83.4 | — | 96.4 | — | — | — | |
| HEG-TS2026.03 | — | 68.4 | — | 92.1 | — | — | — | |
| LFD2026.03 | — | 29.5 | — | 68.4 | — | — | — | |
| Point-BERT(L)Pre-train Data=Ensembled [26], Fine-tuned=multi-modal InfoNCE loss2026.03 | — | 95.8 | — | 99.9 | — | 97.7 | — | |
| Point-BERT(S)Pre-train Data=Shapenet [1], Fine-tuned=multi-modal InfoNCE loss2026.03 | — | 93.2 | — | 99.9 | — | 96.3 | — | |
| SC-IBSR2026.03 | — | 84.3 | — | 97.1 | — | — | — | |
| SparseConvPre-train Data=Shapenet [1], Fine-tuned=multi-modal InfoNCE loss2026.03 | — | 90.5 | — | 99.9 | — | 94.7 | — | |
| SparseConvPre-train Data=Ensembled [26], Fine-tuned=multi-modal InfoNCE loss2026.03 | — | 88.4 | — | 99.9 | — | 93.6 | — |