updated README.md

Intelligent-Systems-Laboratory · Jul 3, 2020 · 9b352ab · 9b352ab
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diff --git a/README.md b/README.md
@@ -61,10 +61,10 @@ Note that:
 
 Name | inf. time | box AP | mask AP | download
 --- |:---:|:---:|:---:|:---:
-[CondInst_MS_R_50_1x](configs/CondInst/MS_R_50_1x.yaml) | - | 39.7 | 35.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/Trx1r4tLJja7sLT/download)
-[CondInst_MS_R_50_BiFPN_3x_sem](configs/CondInst/MS_R_50_BiFPN_3x_sem.yaml) | - | 44.7 | 39.4 | [model](https://cloudstor.aarnet.edu.au/plus/s/9cAHjZtdaAGnb2Q/download)
-[CondInst_MS_R_101_3x](configs/CondInst/MS_R_101_3x.yaml) | - | 43.3 | 38.6 | [model](https://cloudstor.aarnet.edu.au/plus/s/vWLiYm8OnrTSUD2/download)
-[CondInst_MS_R_101_3x_sem](configs/CondInst/MS_R_101_3x_sem.yaml) | - | 44.6 | 39.8 | [model](https://cloudstor.aarnet.edu.au/plus/s/M8nNxSR5iNP4qyO/download)
+[CondInst_MS_R_50_1x](configs/CondInst/MS_R_50_1x.yaml) | 14 FPS | 39.7 | 35.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/Trx1r4tLJja7sLT/download)
+[CondInst_MS_R_50_BiFPN_3x_sem](configs/CondInst/MS_R_50_BiFPN_3x_sem.yaml) | 13 FPS | 44.7 | 39.4 | [model](https://cloudstor.aarnet.edu.au/plus/s/9cAHjZtdaAGnb2Q/download)
+[CondInst_MS_R_101_3x](configs/CondInst/MS_R_101_3x.yaml) | 11 FPS | 43.3 | 38.6 | [model](https://cloudstor.aarnet.edu.au/plus/s/vWLiYm8OnrTSUD2/download)
+[CondInst_MS_R_101_3x_sem](configs/CondInst/MS_R_101_3x_sem.yaml) | 10 FPS | 44.6 | 39.8 | [model](https://cloudstor.aarnet.edu.au/plus/s/M8nNxSR5iNP4qyO/download)
 
 For more models and information, please refer to CondInst [README.md](configs/CondInst/README.md).
 

diff --git a/configs/CondInst/README.md b/configs/CondInst/README.md
@@ -45,31 +45,32 @@ OMP_NUM_THREADS=1 python tools/train_net.py \
 
 Name | inf. time | box AP | mask AP | download
 --- |:---:|:---:|:---:|:---:
-[CondInst_MS_R_50_1x](MS_R_50_1x.yaml) | 13 FPS | 39.7 | 35.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/Trx1r4tLJja7sLT/download)
-[CondInst_MS_R_50_3x](MS_R_50_3x.yaml) | 13 FPS | 37.5 | [model](https://cloudstor.aarnet.edu.au/plus/s/T3OGVBiaSVLvo5E/download)
-[CondInst_MS_R_101_3x](MS_R_101_3x.yaml) | 10 FPS | 43.3 | 38.6 | [model](https://cloudstor.aarnet.edu.au/plus/s/vWLiYm8OnrTSUD2/download)
+[CondInst_MS_R_50_1x](MS_R_50_1x.yaml) | 14 FPS | 39.7 | 35.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/Trx1r4tLJja7sLT/download)
+[CondInst_MS_R_50_3x](MS_R_50_3x.yaml) | 14 FPS | 37.5 | [model](https://cloudstor.aarnet.edu.au/plus/s/T3OGVBiaSVLvo5E/download)
+[CondInst_MS_R_101_3x](MS_R_101_3x.yaml) | 11 FPS | 43.3 | 38.6 | [model](https://cloudstor.aarnet.edu.au/plus/s/vWLiYm8OnrTSUD2/download)
 
-With semantic segmentation loss (set `MODEL.CONDINST.MASK_BRANCH.SEMANTIC_LOSS_ON = True` to enable it):
+With an auxiliary semantic segmentation task (set `MODEL.CONDINST.MASK_BRANCH.SEMANTIC_LOSS_ON = True` to enable it):
 
 Name | inf. time | box AP | mask AP | mask AP (test-dev) | download
 --- |:---:|:---:|:---:|:---:|:---:
-[CondInst_MS_R_50_3x_sem](MS_R_50_3x_sem.yaml) | 13 FPS | 42.6 | 38.2 | 38.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/75Ag8VvC6WedVNh/download)
-[CondInst_MS_R_101_3x_sem](MS_R_101_3x_sem.yaml) | 10 FPS | 44.6 | 39.8 | 40.1 | [model](https://cloudstor.aarnet.edu.au/plus/s/M8nNxSR5iNP4qyO/download)
+[CondInst_MS_R_50_3x_sem](MS_R_50_3x_sem.yaml) | 14 FPS | 42.6 | 38.2 | 38.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/75Ag8VvC6WedVNh/download)
+[CondInst_MS_R_101_3x_sem](MS_R_101_3x_sem.yaml) | 11 FPS | 44.6 | 39.8 | 40.1 | [model](https://cloudstor.aarnet.edu.au/plus/s/M8nNxSR5iNP4qyO/download)
 
 With BiFPN:
 
 Name | inf. time | box AP | mask AP | download
 --- |:---:|:---:|:---:|:---:
-[CondInst_MS_R_50_BiFPN_1x](MS_R_50_BiFPN_1x.yaml) | - | 42.5 | 37.3 | [model](https://cloudstor.aarnet.edu.au/plus/s/RyCG82WhTop99j2/download)
-[CondInst_MS_R_50_BiFPN_3x](MS_R_50_BiFPN_3x.yaml) | - | 44.3 | 38.9 | [model](https://cloudstor.aarnet.edu.au/plus/s/W9ZCcxJF0P5NhJQ/download)
-[CondInst_MS_R_50_BiFPN_3x_sem](MS_R_50_BiFPN_3x_sem.yaml) | - | 44.7 | 39.4 | [model](https://cloudstor.aarnet.edu.au/plus/s/9cAHjZtdaAGnb2Q/download)
+[CondInst_MS_R_50_BiFPN_1x](MS_R_50_BiFPN_1x.yaml) | 13 FPS | 42.5 | 37.3 | [model](https://cloudstor.aarnet.edu.au/plus/s/RyCG82WhTop99j2/download)
+[CondInst_MS_R_50_BiFPN_3x](MS_R_50_BiFPN_3x.yaml) | 13 FPS | 44.3 | 38.9 | [model](https://cloudstor.aarnet.edu.au/plus/s/W9ZCcxJF0P5NhJQ/download)
+[CondInst_MS_R_50_BiFPN_3x_sem](MS_R_50_BiFPN_3x_sem.yaml) | 13 FPS | 44.7 | 39.4 | [model](https://cloudstor.aarnet.edu.au/plus/s/9cAHjZtdaAGnb2Q/download)
 [CondInst_MS_R_101_BiFPN_3x](MS_R_101_BiFPN_3x.yaml) | - | 45.3 | 39.6 | [model](https://cloudstor.aarnet.edu.au/plus/s/HyB0O0D7hfpUC2n/download)
 
 
 *Disclaimer:*
-- All other models are trained with multi-scale data augmentation. Inference time is measured on a NVIDIA 1080Ti with batch size 1.
-- The final mask's resolution is 1/4 of the input image (i.e., `MODEL.CONDINST.MASK_OUT_STRIDE = 4`, which is different from our paper. We used `MODEL.CONDINST.MASK_OUT_STRIDE = 2` in our paper. If you want high-resolution mask results, please change it.
-- This is a reimplementation, and thus the numbers sometimes are slightly different (~0.1% in mask AP).
+
+- All models are trained with multi-scale data augmentation. Inference time is measured on a single NVIDIA 1080Ti with batch size 1.
+- The final mask's resolution is 1/4 of the input image (i.e., `MODEL.CONDINST.MASK_OUT_STRIDE = 4`, which is enough on MS-COCO and different from our original paper. In the paper, we used `MODEL.CONDINST.MASK_OUT_STRIDE = 2`. If you want high-resolution mask results, please reduce it.
+- This is a reimplementation. Thus, the numbers are slightly different from our original paper (within 0.1% in mask AP).
 
 # Citing CondInst
 If you use CondInst in your research or wish to refer to the baseline results, please use the following BibTeX entries.