Merge pull request WZMIAOMIAO#538 from WZMIAOMIAO/dev

Dev

Author: WZMIAOMIAO

article_link/README.md

@@ -57,16 +57,23 @@
 - CenterNet [https://arxiv.org/abs/1904.07850](https://arxiv.org/abs/1904.07850)
 
 
-## 图像分割(Segmentation)
+## 语义分割(Semantic Segmentation)
 - FCN(Fully Convolutional Networks for Semantic Segmentation) [https://arxiv.org/abs/1411.4038](https://arxiv.org/abs/1411.4038)
 - UNet(U-Net: Convolutional Networks for Biomedical Image Segmentation) [https://arxiv.org/abs/1505.04597](https://arxiv.org/abs/1505.04597)
 - DeepLabv1(Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs) [https://arxiv.org/abs/1412.7062](https://arxiv.org/abs/1412.7062)
 - DeepLabv2(Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs) [https://arxiv.org/abs/1606.00915](https://arxiv.org/abs/1606.00915)
 - DeepLabv3(Rethinking Atrous Convolution for Semantic Image Segmentation) [https://arxiv.org/abs/1706.05587](https://arxiv.org/abs/1706.05587)
 - DeepLabv3+(Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation) [https://arxiv.org/abs/1802.02611](https://arxiv.org/abs/1802.02611)
+
+
+## 实例分割(Instance Segmentation)
 - Mask R-CNN [https://arxiv.org/abs/1703.06870](https://arxiv.org/abs/1703.06870)
 
 
+## 关键点检测(Keypoint Detection)
+- HRNet(Deep High-Resolution Representation Learning for Human Pose Estimation) [https://arxiv.org/abs/1902.09212](https://arxiv.org/abs/1902.09212)
+
+
 ## 自然语言处理
 - Attention Is All You Need [https://arxiv.org/abs/1706.03762](https://arxiv.org/abs/1706.03762)
 

pytorch_object_detection/mask_rcnn/network_files/faster_rcnn_framework.py

@@ -269,7 +269,7 @@ def __init__(self, backbone, num_classes=None,
                 "same for all the levels"
             )
 
-        assert isinstance(rpn_anchor_generator, (AnchorsGenerator, type(None)))
+        # assert isinstance(rpn_anchor_generator, (AnchorsGenerator, type(None)))
         assert isinstance(box_roi_pool, (MultiScaleRoIAlign, type(None)))
 
         if num_classes is not None: