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ModelZoo
SOLOv2-pytorch
Commits
3a4a5754
"vscode:/vscode.git/clone" did not exist on "4f7d7d341eb5f945541c8bb9733a74cbeb87bfa0"
Commit
3a4a5754
authored
Dec 02, 2018
by
Kai Chen
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add fast (mask) rcnn R101 models
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3b886d03
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MODEL_ZOO.md
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3a4a5754
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@@ -73,12 +73,18 @@ We released RPN, Faster R-CNN and Mask R-CNN models in the first version. More m
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@@ -73,12 +73,18 @@ We released RPN, Faster R-CNN and Mask R-CNN models in the first version. More m
| Backbone | Style | Type | Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | mask AP | Download |
| Backbone | Style | Type | Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | mask AP | Download |
|:--------:|:-------:|:------:|:-------:|:--------:|:-------------------:|:--------------:|:------:|:-------:|:--------:|
|:--------:|:-------:|:------:|:-------:|:--------:|:-------------------:|:--------------:|:------:|:-------:|:--------:|
| R-50-FPN | caffe | Faster | 1x | 3.5 | 0.35 | 14.6 | 36.6 | - | - |
| R-50-FPN | caffe | Faster | 1x | 3.5 | 0.348 | 14.6 | 36.6 | - | - |
| R-50-FPN | pytorch | Faster | 1x | 4.0 | 0.38 | 14.5 | 35.8 | - |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_rcnn_r50_fpn_1x_20181010-08160859.pth
)
|
| R-50-FPN | pytorch | Faster | 1x | 4.0 | 0.375 | 14.5 | 35.8 | - |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_rcnn_r50_fpn_1x_20181010-08160859.pth
)
|
| R-50-FPN | pytorch | Faster | 2x | 4.0 | 0.38 | 14.5 | 37.1 | - |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_rcnn_r50_fpn_2x_20181010-d263ada5.pth
)
|
| R-50-FPN | pytorch | Faster | 2x | 4.0 | 0.375 | 14.5 | 37.1 | - |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_rcnn_r50_fpn_2x_20181010-d263ada5.pth
)
|
| R-50-FPN | caffe | Mask | 1x | 5.4 | 0.47 | 10.7 | 37.3 | 34.5 | - |
| R-101-FPN| caffe | Faster | 1x | 7.1 | 0.484 | 11.9 | 38.4 | - | - |
| R-50-FPN | pytorch | Mask | 1x | 5.3 | 0.50 | 10.6 | 36.8 | 34.1 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_mask_rcnn_r50_fpn_1x_20181010-e030a38f.pth
)
|
| R-101-FPN| pytorch | Faster | 1x | 7.6 | 0.540 | 11.8 | 38.1 | - |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_rcnn_r101_fpn_1x_20181129-ffaa2eb0.pth
)
|
| R-50-FPN | pytorch | Mask | 2x | 5.3 | 0.50 | 10.6 | 37.9 | 34.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_mask_rcnn_r50_fpn_2x_20181010-5048cb03.pth
)
|
| R-101-FPN| pytorch | Faster | 2x | 7.6 | 0.540 | 11.8 | 38.8 | - |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_rcnn_r101_fpn_2x_20181129-9dba92ce.pth
)
|
| R-50-FPN | caffe | Mask | 1x | 5.4 | 0.473 | 10.7 | 37.3 | 34.5 | - |
| R-50-FPN | pytorch | Mask | 1x | 5.3 | 0.504 | 10.6 | 36.8 | 34.1 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_mask_rcnn_r50_fpn_1x_20181010-e030a38f.pth
)
|
| R-50-FPN | pytorch | Mask | 2x | 5.3 | 0.504 | 10.6 | 37.9 | 34.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_mask_rcnn_r50_fpn_2x_20181010-5048cb03.pth
)
|
| R-101-FPN| caffe | Mask | 1x | 8.6 | 0.607 | 9.5 | 39.4 | 36.1 | - |
| R-101-FPN| pytorch | Mask | 1x | 9.0 | 0.656 | 9.3 | 38.9 | 35.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_mask_rcnn_r101_fpn_1x_20181129-2273fa9b.pth
)
|
| R-101-FPN| pytorch | Mask | 2x | 9.0 | 0.656 | 9.3 | 39.9 | 36.4 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fast_mask_rcnn_r101_fpn_2x_20181129-bf63ec5e.pth
)
|
### RetinaNet
### RetinaNet
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