Update README.md

DetectionTeamUCAS · Nov 18, 2020 · a229165 · a229165
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@@ -16,8 +16,8 @@ This is a tensorflow re-implementation of [Focal Loss for Dense Object Detection
 | RetinaNet | ResNet50_v1d 600 | VOC07+12 trainval | VOC07 test | 79.66 | - | - | - | 8X GeForce RTX 2080 Ti | 1 | cfgs_res50_voc0712_v1.py |
 | RetinaNet | ResNet101_v1d 600 | VOC07+12 trainval | VOC07 test | 81.69 | - | - | - | 8X GeForce RTX 2080 Ti | 1 | cfgs_res50_voc0712_v4.py |
 | RetinaNet | ResNet101_v1d 800 | VOC07+12 trainval | VOC07 test | 80.69 | - | - | - | 8X GeForce RTX 2080 Ti | 1 | cfgs_res50_voc0712_v3.py | 
-| RetinaNet | ResNet50_v1 600 | COCO train2017 | COCO val2017 (coco minival) | 33.4 | 12.2 | - | 1x | 8X GeForce RTX 2080 Ti | 1 | cfgs_res50_coco_1x_v4.py |
-| RetinaNet | ResNet50_v1 600 | COCO train2017 | COCO val2017 (coco minival) | 34.3 (paper: 34.0) | 12.2 | [model](https://drive.google.com/file/d/1UIHFh_QnYpQCeFPimnmZhPuxpIkFjwq5/view?usp=sharing) | 1x | 4X GeForce RTX 2080 Ti | 2 | cfgs_res50_coco_1x_v5.py |
+| RetinaNet | ResNet50_v1d 600 | COCO train2017 | COCO val2017 (coco minival) | 33.4 | 12.2 | - | 1x | 8X GeForce RTX 2080 Ti | 1 | cfgs_res50_coco_1x_v4.py |
+| RetinaNet | ResNet50_v1d 600 | COCO train2017 | COCO val2017 (coco minival) | 34.3 (paper: 34.0) | 12.2 | [model](https://drive.google.com/file/d/1UIHFh_QnYpQCeFPimnmZhPuxpIkFjwq5/view?usp=sharing) | 1x | 4X GeForce RTX 2080 Ti | 2 | cfgs_res50_coco_1x_v5.py |
 
 ## My Development Environment
 1、python3.5 (anaconda recommend)