A MULTI-TASK FRAMEWORK WITH FEATURE PASSING MODULE FOR SKIN LESION CLASSIFICATION AND SEGMENTATION
摘要： 1.分割任务和分类任务是有联系的 2.设计了一个特征融合模块在分类分支和分割分支之间传递信息 3.有些信息是有用有些信息是无用的，所以设置了一个门函数来控制信息之间的传递 introduction: 1.低层共享特征，我们提出多任务结构，能够稍微提高准确率和节省时间 2.为了进一步深挖两个任务之间的依赖，用门函数来控制传送信息 3.可学习的门功能用于控制消息传输，因此只有有用的信息才能
相关文章
- 1. Adversarial learning with multi-scale loss for skin lesion segmentation
- 2. 论文笔记《A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification》
- 3. Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
- 4. 读书笔记-多任务学习-A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification
- 5. DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation
- 6. Feature Selection for Classification: A Review（二）
- 7. Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation阅读笔记
- 8. Review of Semantic Segmentation with Deep Learning
- 9. Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria
- 10. 【论文笔记】——FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION
- 更多相关文章...
- • XSLT
- • Lua 模块与包 - Lua 教程
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
- • 委托模式
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Adversarial learning with multi-scale loss for skin lesion segmentation
- 2. 论文笔记《A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification》
- 3. Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
- 4. 读书笔记-多任务学习-A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification
- 5. DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation
- 6. Feature Selection for Classification: A Review（二）
- 7. Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation阅读笔记
- 8. Review of Semantic Segmentation with Deep Learning
- 9. Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria
- 10. 【论文笔记】——FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION