MogaNet-ADE20K-Segmentation-Weights
Lupin1998
released this
09 Feb 15:18
·
19 commits
to main
since this release
A collection of log.json
and model.pth
for semantic segmentation experiments of MogaNet on ADE20K (download). You can also download all released files from Baidu Cloud (z8mf) at MogaNet/ADE20K_Segmentation
.
- We perform semantic segmentation experiments based on Semantic FPN with ImageNet-1K pre-trained MogaNet variants fine-tuning 80K iterations in MogaNet/segmentation.
- We perform semantic segmentation experiments based on UperNet with ImageNet-1K pre-trained MogaNet variants fine-tuning 160K iterations in MogaNet/segmentation.
MogaNet + Semantic FPN
Method | Backbone | Pretrain | Params | FLOPs | Iters | mIoU | mAcc | Config | Download |
---|---|---|---|---|---|---|---|---|---|
Semantic FPN | MogaNet-XT | ImageNet-1K | 6.9M | 101.4G | 80K | 40.3 | 52.4 | config | log / model |
Semantic FPN | MogaNet-T | ImageNet-1K | 9.1M | 107.8G | 80K | 43.1 | 55.4 | config | log / model |
Semantic FPN | MogaNet-S | ImageNet-1K | 29.1M | 189.7G | 80K | 47.7 | 59.8 | config | log / model |
Semantic FPN | MogaNet-B | ImageNet-1K | 47.5M | 293.6G | 80K | 49.3 | 61.6 | config | log / model |
Semantic FPN | MogaNet-L | ImageNet-1K | 86.2M | 418.7G | 80K | 50.2 | 63.0 | config | log / model |
MogaNet + UperNet
Method | Backbone | Pretrain | Params | FLOPs | Iters | mIoU | mAcc | Config | Download |
---|---|---|---|---|---|---|---|---|---|
UperNet | MogaNet-XT | ImageNet-1K | 30.4M | 855.7G | 160K | 42.2 | 55.1 | config | log / model |
UperNet | MogaNet-T | ImageNet-1K | 33.1M | 862.4G | 160K | 43.7 | 57.1 | config | log / model |
UperNet | MogaNet-S | ImageNet-1K | 55.3M | 946.4G | 160K | 49.2 | 61.6 | config | log / model |
UperNet | MogaNet-B | ImageNet-1K | 73.7M | 1050.4G | 160K | 50.1 | 63.4 | config | log / model |
UperNet | MogaNet-L | ImageNet-1K | 113.2M | 1176.1G | 160K | 50.9 | 63.5 | config | log / model |