This article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics
首先来回顾一下 instance level segmentation 都有哪些方法: 1)Proposal based: 基于候选区域提取的方法,首先提取物体的候选区域,然后再对候选区域进行细化分割 refinement 2)Deep structured models: CNN+ conditional random field (CRF) 3)Template matching: CNN+ template matching scheme 4) Recurrent Networks: C...
Paper tables with annotated results for Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Abstract: Existing 3D instance segmentation methods are predominant by a bottom-up design: a manually fine-tuned algorithm to group points into clusters followed by a refinement network. Relying on the quality of the clusters, these methods generate susceptible results when (1) nearby objects with ...
4. Segmentation Masks If you stop at the end of the last section then you have aFaster R-CNNframework for object detection. The mask network is the addition that the Mask R-CNN paper introduced. The mask branch is a convolutional network that takes the positive regions selected by the ROI...
2. Segmentation datasets 3. Theoretical background 4. Tested neural architectures 5. Tests & their results 6. Discussion CRediT authorship contribution statement Declaration of competing interest Acknowledgments Appendix A. Supplementary data Data availability ReferencesShow full outline Cited by (1) Figur...
instance segmentation tasks, such as appearance Similarity, proximity of objects, or occlusion, etc. On the other hand, the better feature representation of a single instance provided by multiple frames also helps the model to better track the object. Therefore, our method aims to achieve an end...
Mask-Attention-Free Transformer for 3D Instance Segmentation Xin Lai1 Yuhui Yuan3 Ruihang Chu1 Yukang Chen1 Han Hu3 Jiaya Jia1,2* 1The Chinese University of Hong Kong 2SmartMore 3Microsoft Research Asia Abstract Recently, transformer-based methods have dominated 3D instance ...
We consider the problem of amodal instance segmentation, the objective of which is to predict the region encompassing both visible and occluded parts of each object. Thus far, the lack of publicly available amodal segmentation annotations has stymied the
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection 和分割类似,只不过改成了在小尺寸的 feature map (512x512->64x32)进行keypoint检测。 在feature map每个 grid 上检测是否有车道线, 以及在此grid 上的的 offset,keypoints 检测+ offset回归 确定车道线的精确位置。 同时在grid...