Instance Segmentation On Coco 2017 Val
Metrics
mask AP*
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| SparK (ConvNeXt V1-B Mask R-CNN) | 45.1 | Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling |
| Mask Transfiner (R50-FPN) | 43.1 | Mask Transfiner for High-Quality Instance Segmentation |
| PointRend (MaskR-CNN, ResNet-50-FPN) | 39.7 | PointRend: Image Segmentation as Rendering |
| RF-ConvNeXt-T Cascade R-CNN | - | RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks |
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