update maskrcnn notes

examples/FasterRCNN/README.md

@@ -25,8 +25,8 @@ DIR/
 
 ## Usage
 Change config in `config.py`:
-1. Set `BASEDIR` to `/path/to/DIR` as described above.
-2. Set `MODE_MASK` to switch Faster-RCNN or Mask-RCNN.
+1. Change `BASEDIR` to `/path/to/DIR` as described above.
+2. Change `MODE_MASK` to switch Faster-RCNN or Mask-RCNN.
 
 Train:
 ```
@@ -48,22 +48,22 @@ Evaluate the performance of a model and save to json.
 
 ## Results
 
-Models are trained on trainval35k and evaluated on minival using mAP@IoU=0.50:0.95.
+These models are trained with different configurations on trainval35k and evaluated on minival using mAP@IoU=0.50:0.95.
 MaskRCNN results contain both bbox and segm mAP.
 
 |Backbone|`FASTRCNN_BATCH`|resolution |schedule|mAP (bbox/segm)|Time         |
 |   -    |    -           |    -      |   -    |   -           |   -         |
-|R50     |64              |(600, 1024)|280k    |33.0           |22h on 8 P100|
-|R50     |512             |(800, 1333)|280k    |35.6           |55h on 8 P100|
-|R50*    |512             |(800, 1333)|360k    |36.7           |49h on 8 V100|
-|R50     |256             |(800, 1333)|280k    |36.9/32.3      |39h on 8 P100|
-|R101    |512             |(800, 1333)|280k    |40.1/34.4      |70h on 8 P100|
+|R-50    |64              |(600, 1024)|280k    |33.0           |22h on 8 P100|
+|R-50    |512             |(800, 1333)|280k    |35.6           |55h on 8 P100|
+|R-50    |512             |(800, 1333)|360k    |36.7           |49h on 8 V100|
+|R-50    |256             |(800, 1333)|280k    |36.9/32.3      |39h on 8 P100|
+|R-50    |512							|(800, 1333)|360k    |37.7/33.0      |72h on 8 P100|
+|R-101   |512             |(800, 1333)|280k    |40.1/34.4      |70h on 8 P100|
 
-These models are trained with different configurations.
-The starred (*) models have identical configurations with
+The two 360k models have identical configurations with
 `R50-C4-2x` configuration in
-[Detectron Model Zoo](https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md#end-to-end-faster--mask-r-cnn-baselines0)
-and get the same performance.
+[Detectron Model Zoo](https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md#end-to-end-faster--mask-r-cnn-baselines0).
+They get the __same performance__ with the official models, and are about 14% slower than the official implementation, due to the lack of specialized ops.
 
 ## Notes