这里记录查看过的一些交互式图像代码，包括Github库、论文地址以及所作的一些尝试。
- ✅ 通过pytorch或者tensorflow实现推理过程
- ✳️ 通过OpenCV DNN模块读取模型以及其他方式（非pytorch）实现推理过程
- ⏹ 有代码，没有模型，没有做
- ✖️ 没有找到开源代码
- ❌ 存在某种困难或者其他原因，战略性放弃
- 🔶 暂时未尝试
这里主要按年份分类：
2016, 2017, 2018, 2019, 2020, 2021
✖️ Deep interactive object selection
✖️ Regional interactive image segmentation networks
✅ Deep GrabCut for Object Selection
- 源Github - https://github.com/jfzhang95/DeepGrabCut-PyTorch
- Paper PDF - https://arxiv.org/pdf/1711.09081
- 有提供模型文件
- 代码打包下载
- 实现交互测试
✅ Deep extreme cut: From extreme points to object segmentation
- 项目主页 - https://cvlsegmentation.github.io/dextr/
- 源Github - https://github.com/scaelles/DEXTR-PyTorch/
- Paper PDF - https://arxiv.org/pdf/1711.09081
- 有提供模型文件
- 代码打包下载
- 实现交互测试
🔶 Annotating object instances with a polygon-RNN
- 项目主页 - http://www.cs.toronto.edu/polyrnn/
- Paper PDF - https://arxiv.org/pdf/1704.05548
- 项目已经改进更新为polygon-RNN++
❌ Iteratively trained interactive segmentation
- 源Github - https://github.com/sabarim/itis
- Paper PDF - https://arxiv.org/pdf/1805.04398
- 把加载数据集数据部分写进了计算图，无法将预测分割部分摘取出来，战略性放弃
⏹ SeedNet: Automatic seed generation with deep reinforcement learning for robust interactive segmentation
- 源Github - https://github.com/kelawaad/SeedNet
- Paper PDF - https://openaccess.thecvf.com/content_cvpr_2018/papers/...pdf
- 没有提供模型文件
✅ Interactive image segmentation with latent diversity
- 源Github - https://github.com/intel-isl/Intseg
- Paper PDF - https://openaccess.thecvf.com/content_cvpr_2018/papers/...pdf
- 有提供模型文件
- 代码打包下载
- 实现交互测试
✳️ A fully convolutional two-stream fusion network for interactive image segmentation
- 源Github - https://github.com/cyh4/FCTSFN
- Paper PDF - https://arxiv.org/pdf/1807.02480
- 有提供模型文件（caffe）
- 代码打包下载
- 实现交互测试
🔶 Efficient interactive annotation of segmentation datasets with polygon-RNN++
- 项目主页 - http://www.cs.toronto.edu/polyrnn/
- 源Github - https://github.com/fidler-lab/polyrnn-pp-pytorch
- Paper PDF - https://arxiv.org/pdf/1803.09693
🔶 Few-Shot Segmentation Propagation with Guided Networks
✳️ Interactive image segmentation via backpropagating refinement scheme
- 源Github - https://github.com/wdjang/BRS-Interactive_segmentation
- Paper PDF - https://openaccess.thecvf.com/content_CVPR_2019/papers/...pdf
- 有提供模型文件（caffe）
- 代码打包下载
- 实现交互测试
✖️ Interactive full image segmentation by considering all regions jointly
✖️ MultiSeg: Semantically meaningful, scale-diverse segmentations from minimal user input
🔶 Fast interactive object annotation with curve-GCN
- 源Github - https://github.com/fidler-lab/curve-gcn
- Paper PDF - https://openaccess.thecvf.com/content_CVPR_2019/papers/...pdf
🔶 Object instance annotation with deep extreme level set evolution
- 项目主页 - http://www.cs.toronto.edu/~zianwang/DELSE/delse.html
- 源Github - https://github.com/fidler-lab/delse
- Paper PDF - https://openaccess.thecvf.com/content_CVPR_2019/papers/...pdf
✅ Interactive image segmentation with first click attention
- 项目主页 - https://www.lin-zheng.com/fclick/
- 源Github - https://github.com/frazerlin/fcanet
- Paper PDF - https://openaccess.thecvf.com/content_CVPR_2019/papers/...pdf
- 有提供模型文件
- 代码打包下载
- 实现交互测试
🔶 DISIR: Deep image segmentation with interactive refinement
✅ F-BRS: Rethinking backpropagating refinement for interactive segmentation
- 官方Github - https://github.com/saic-vul/fbrs_interactive_segmentation
- 修改版Github - https://github.com/jpconnel/fbrs-segmentation
- Paper PDF - https://openaccess.thecvf.com/content_CVPR_2020/papers/...pdf
- 有提供模型文件
- 代码打包下载
- 实现交互测试
✅ Getting to 99% accuracy in interactive segmentation
- 源Github - https://github.com/MarcoForte/DeepInteractiveSegmentation
- Paper PDF - https://arxiv.org/pdf/2003.07932
- 有提供模型文件
- 代码打包下载
- 实现交互测试
🔶 Interactive Object Segmentation with Inside-Outside Guidance
- 源Github - https://github.com/shiyinzhang/Inside-Outside-Guidance
- Paper PDF - https://openaccess.thecvf.com/content_CVPR_2020/papers/...pdf
🔶 Reviving Iterative Training with Mask Guidance for Interactive Segmentation