Image Classification on PatchCamelyon (test)
90.31AccuracyPartial G-CNN
Evaluation Results
| Method | Links | |
|---|---|---|
| Partial G-CNNBase Group=SE(2), Number of Elements=16, Partial Equivariance=true2021.10 | 90.31 | |
| Regular G-CNNBase Group=SE(2), Number of Elements=8, Partial Equivariance=false2021.10 | 89.87 | |
| Regular G-CNNBase Group=E(2), Number of Elements=16, Partial Equivariance=false2021.10 | 89.77 | |
| Regular G-CNNBase Group=SE(2), Number of Elements=16, Partial Equivariance=false2021.10 | 89.71 | |
| Partial G-CNNBase Group=SE(2), Number of Elements=8, Partial Equivariance=true2021.10 | 89.07 | |
| Partial G-CNNBase Group=E(2), Number of Elements=16, Partial Equivariance=true2021.10 | 88.13 | |
| QUILTNET%shot=1, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 87.62 | |
| QUILTNET%shot=10, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 87.55 | |
| PLIP%shot=10, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 87.48 | |
| QUILTNET%shot=100, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 87.48 | |
| PLIP%shot=100, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 87.34 | |
| PLIP%shot=1, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 87.26 | |
| QUILTNET%shot=100, Backbone=ViT-B/16, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 86.81 | |
| QUILTNET%shot=10, Backbone=ViT-B/16, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 86.77 | |
| QUILTNET%shot=1, Backbone=ViT-B/16, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 84.78 | |
| QUILTNET%shot=100, Backbone=ViT-B/16, Pre-train=PMB/256, Evaluation Protocol=Linear probing2023.06 | 84.44 | |
| QUILTNET%shot=10, Backbone=ViT-B/16, Pre-train=PMB/256, Evaluation Protocol=Linear probing2023.06 | 84.42 | |
| BiomedCLIP%shot=100, Backbone=ViT-B/16, Pre-train=PMB/256, Evaluation Protocol=Linear probing2023.06 | 84.23 | |
| BiomedCLIP%shot=10, Backbone=ViT-B/16, Pre-train=PMB/256, Evaluation Protocol=Linear probing2023.06 | 84.18 | |
| BiomedCLIP%shot=1, Backbone=ViT-B/16, Pre-train=PMB/256, Evaluation Protocol=Linear probing2023.06 | 83.63 | |
| QUILTNET%shot=1, Backbone=ViT-B/16, Pre-train=PMB/256, Evaluation Protocol=Linear probing2023.06 | 83.48 | |
| CLIP%shot=100, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 82.8 | |
| CLIP%shot=10, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 82.67 | |
| CLIP%shot=100, Backbone=ViT-B/16, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 82.55 | |
| CLIP%shot=10, Backbone=ViT-B/16, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 82.2 | |
| CLIP%shot=1, Backbone=ViT-B/32, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 80.38 | |
| CLIP%shot=1, Backbone=ViT-B/16, Pre-train=GPT/77, Evaluation Protocol=Linear probing2023.06 | 80.28 | |
| CNNBase Group=T(2), Number of Elements=1, Partial Equivariance=false2021.10 | 67.59 |