论文笔记-Deep Face Detector Adaptation without Negative Transfer or Catastrophic Forgetting - 代码天地

论文笔记-Deep Face Detector Adaptation without Negative Transfer or Catastrophic Forgetting

其他 2018-07-20 12:34:45 阅读次数: 0

NoSuchKey

猜你喜欢

转载自www.cnblogs.com/hearwind/p/9340551.html

论文笔记-Deep Face Detector Adaptation without Negative Transfer or Catastrophic Forgetting

Incremental Learning of Object Detectors without Catastrophic Forgetting详解

论文---overcoming catastrophic forgetting in neural networks理解

[论文翻译] Learning Without Forgetting

[论文阅读] Learning Without Forgetting

【论文笔记】Domain Adaptation via Transfer Component Analysis

[论文分享] Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

灾难性遗忘（catastrophic forgetting）

灾难性遗忘问题 Catastrophic Forgetting

Learning without Forgetting 论文阅读和对应代码详解

论文笔记： LSTD A Low-Shot Transfer Detector for Object Detection

Learning without Forgetting 详解（LwF）

HAT-Overcoming Catastrophic Forgetting with Hard Attention to the Task翻译

2020-CVPR-《Mnemonics Training：Multi-Class Incremental Learning Without Forgetting》论文阅读笔记

论文笔记《Crowd Counting with Deep Negative Correlation Learning》

【深度学习】论文导读：无监督域适应（Deep Transfer Network: Unsupervised Domain Adaptation）

Domain Adaptation论文笔记

[论文理解] LFFD: A Light and Fast Face Detector for Edge Devices

论文笔记：Visual Attribute Transfer through Deep Image Analogy

A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记

A Light CNN for Deep Face Representation with Noisy Labels论文笔记

【论文笔记】A Light CNN for Deep Face Representation with Noisy Label

《A Discriminative Feature Learning Approach for Deep Face Recognition》论文笔记

克服神经网络中的灾难性遗忘(EWC):Overcoming catastrophic forgetting inneural networks

持续学习 | continual learning 和灾难性遗忘 | catastrophic forgetting

通过WiSE-FT 大模型微调（“灾难性遗忘”catastrophic forgetting）

“Life Long Learning”（终身学习）和“灾难性遗忘”（catastrophic forgetting）

论文笔记：Contrastive Adaptation Network for Unsupervised Domain Adaptation

半监督迁移学习-Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea 论文笔记

今日推荐

周排行

jmeter出现乱码，如何解决？

分割数据集label转换为目标检测boundingbox

学习Linux前必备专业知识

javascript 词法结构小结

八、CSS3中的动画功能

VUE+PostgreSQL+PostgREST实现用户权限安全分级

4 Git 基础 - 撤消操作

南山空同《学经》前18章

TCP/IP网络编程习题2

MSER — 自然场景文本检测

每日归档

更多

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)

2025-03-11(0)

2025-03-10(0)