To address the issue, a weakly supervised approach is proposed in the paper which performs instance segmentation only with the supervision of bounding box or coarse localization annotation. A novel DCNN model is
2.4 Weakly Supervised Instance Segmentation 直接计算得分进行排序和NMS。在生成的proposal基础上(~~生成方式未明示~~),分别从实例、边界和类别信息三个角度均衡。 3. Experiment Ablation Study 在VOC2012上的实验,轮廓边界的影响相对不大;背景和实例关注部分影响大;PS次之。在VGG-16提升更大,很明显因为本来特征...
Peak Stimulation(峰值激活)---产生CPM(类峰值图) 2. Peak Back-propagation (峰值反向传播)---产生PRM(峰值响应图) 3.Weakly Supervised Instance Segmentation(弱监督实例分割) 一、第一个过程 :Peak Stimulation(峰值激活)---产生CPM(类峰值图) 输入一张图片到全卷积分类器中,得到20个通道的特征图(源代码...
推理阶段时,已确定的极值点会反向传播去产生每一个实例的高信息区域,称为PRMs(Peak Response Maps),PRM提供具有良好细节的有关每一个实例的代表,进一步会生成分割掩码, 3.1全卷积结构 通过直接去除全局池化层,将全连接层变为1*1卷积层,现代神经网络分类器就变成了全卷积网络,在前向传播中保留着空间信息,第一步是...
First, we proposed a weakly supervised one-stage instance segmentation method using coarse annotations on follicle ultrasound images, which can be further integrated with SAM-Med2D to enhance final segmentation results. To the best of our knowledge, this is the first weakly supervised follicle ...
Wu et al. [41] proposed a weakly supervised 3D brain lesion segmentation with image-level labels. A dimensional independent attention mechanism was applied on the top of the class activation maps [45] to improve lesion localization. The estimated lesion regions and normal tissues were then used ...
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes - jchibane/Box2Mask
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation Yi Zhu1, Yanzhao Zhou1, Huijuan Xu2, Qixiang Ye1, David Doermann3, Jianbin Jiao1 1University of Chinese Academy of Sciences 2University of California, Berkeley 3University at Buffalo {...
@INPROCEEDINGS{Zhou2018PRM, author = {Zhou, Yanzhao and Zhu, Yi and Ye, Qixiang and Qiu, Qiang and Jiao, Jianbin}, title = {Weakly Supervised Instance Segmentation using Class Peak Response}, booktitle = {CVPR}, year = {2018} }About...
Besides, our model can be compatible to 3D instance segmentation equipped with a point-clustering strategy. Experimental results on both ScanNet-v2 and S3DIS show that our self-training approach, with extremely-sparse annotations, outperforms all existing weakly supervised methods for 3D semantic and...