Methods › Computer Vision › Image Segmentation Models
Image Segmentation Models
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Methods
All 9 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| SAM Segment Anything Model | – | 905 |
| DEXTR Deep Extreme Cut | – | 5 |
| HANet Height-driven Attention Network | – | 5 |
| BCA-Segmentation Segmentation of patchy areas in biomedical images based on local edge density estimation | – | 3 |
| pGAN Parallel GAN | – | 3 |
| SegSort Segment Sorting | – | 2 |
| H-BEMD Hue — Bi-Dimensional Empirical Mode Decomposition | – | 1 |
| SCNN_UNet_ConvLSTM Spatial CNN with UNet based Encoder-decoder and ConvLSTM | – | 1 |
| SWRNet A Deep Learning Approach for Small Surface Water Area Recognition Onboard Satellite | – | 1 |