add feature transform results

Author: fxia22

README.md

@@ -37,15 +37,15 @@ On ModelNet40:
 | :---: | :---: | 
 | Original implementation | 89.2 | 
 | this implementation(w/o feature transform) | 86.4 | 
-| this implementation(w/ feature transform) | TBA | 
+| this implementation(w/ feature transform) | 86.8 | 
 
 On [A subset of shapenet](http://web.stanford.edu/~ericyi/project_page/part_annotation/index.html)
 
 |  | Overall Acc | 
 | :---: | :---: | 
 | Original implementation | N/A | 
 | this implementation(w/o feature transform) | 98.1 | 
-| this implementation(w/ feature transform) | TBA | 
+| this implementation(w/ feature transform) | 96.8 | 
 
 ## Segmentation performance
 
@@ -55,7 +55,6 @@ Segmentation on  [A subset of shapenet](http://web.stanford.edu/~ericyi/project_
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | 
 | Original implementation |  83.4 | 78.7 | 82.5| 74.9 |89.6| 73.0| 91.5| 85.9| 80.8| 95.3| 65.2| 93.0| 81.2| 57.9| 72.8| 80.6| 
 | this implementation(w/o feature transform) | 73.5 | 71.3 | 64.3 | 61.1 | 87.2 | 69.5 | 86.1|81.6| 77.4|92.7|41.3|86.5|78.2|41.2|61.0|81.1|
-| this implementation(w/ feature transform) | TBA | 
 
 Note that this implementation trains each class separately, so classes with fewer data will have slightly lower performance than reference implementation.