Weakly-Supervised Object Segmentation
2 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Weakly-Supervised Object Segmentation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CheXlocalize
Most implemented papers
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
pytorch/captum
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This paper addresses the visualisation of image classification models, learnt using deep Convolutional Networks (ConvNets).
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
On the other hand, WSSS methods based on Vision Transformers (ViT) have not yet explored valid alternatives to CAM.
