Weakly Supervised Object Localization On 2
Metrics
GT-known localization accuracy
Top-1 Localization Accuracy
average top-1 classification accuracy
Results
Performance results of various models on this benchmark
Model Name | GT-known localization accuracy | Top-1 Localization Accuracy | average top-1 classification accuracy | Paper Title | Repository |
|---|---|---|---|---|---|
| Deit-S | 68.8 | 56.1 | 76.7 | Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration | |
| R-Mix (ResNet-50) | - | 55.58 | - | Expeditious Saliency-guided Mix-up through Random Gradient Thresholding | |
| FALcon | 62.45 | 49.39 | - | Exploring Foveation and Saccade for Improved Weakly-Supervised Localization | |
| CexCNN | 67.65 | - | - | Causal Explanation of Convolutional Neural Networks | |
| TokenCut | 65.4 | 52.3 | - | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut | |
| Stable diffusion | 75.0 | 65.2 | - | Generative Prompt Model for Weakly Supervised Object Localization |
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