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Instance Segmentation On Coco 2017 Val

Metrics

mask AP*

Results

Performance results of various models on this benchmark

Model Name
mask AP*
Paper TitleRepository
PointRend (MaskR-CNN, ResNet-50-FPN)39.7PointRend: Image Segmentation as Rendering-
RF-ConvNeXt-T Cascade R-CNN-RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks-
SparK (ConvNeXt V1-B Mask R-CNN)45.1Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling-
Mask Transfiner (R50-FPN)43.1Mask Transfiner for High-Quality Instance Segmentation-
0 of 4 row(s) selected.
Instance Segmentation On Coco 2017 Val | SOTA | HyperAI