Duan is a first year Master student at BUPT, major in Computer Vision, Few Shot Learning, GAN
Open Source Projects
- Few-shot-Playground - PyTorch’s few-shot method implementated for the latest method. (under construction)
Talks
- S2E19 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
- S2E15 Progressive Pose Attention Transfer for Person Image Generation
- S2E13 TADAM: Task dependent adaptive metric for improved few-shot learning
- S2E09 Histograms of Oriented Gradients for Human Detection
- S2E07 Low-shot Learning via Covariance Preserving Adversarial Augmentation Networks
- S2E05 Learning to Compare: Relation Network for Few-Shot Learning
- S2E02 Travelgan-Image-to-Image-Translation-by-Transformation-Vector-Learning
QA for Few-Shot
-
I am new for few-shot, can u briefly describe how do few-shot model works and why it is few-shot despite it trained by a large dataset? This question is a very interesting, however very fundamentral question. In general, differ from traditional image-classification model, few-shot model learn the ability to generalize how to classifiy between the classes, so they can correctly classify the unseen classes with a few samples. More details you can see in one of my blogs here.
-
SOTA data? Most method are compare on the mini-imagenet, Prototypical Network, Relation Network these classic method with 4 layer of simple Conv can achieve about 65 ~ 68% Top1 acc. Recent years, lots of new work change the backbone to Resnet 34 and Prototypical Network can achieve 74% with ResNet34. This must be emphasis, because many papers didn’t mention it, so they will lead to some mis-understand, such as GNN or some novel method improved 10 per or even 15 per acc.
Contact
- Linkedin: https://www.linkedin.com/in/jaming-d-204041116/
- Github: https://github.com/vdeamov
- Email: [email protected]
- Blog: https://vdeamov.github.io
Posts
- 第三季8场 (CV) AI ML Club 活动纪要 September 29, 2019
- 第二季19场 AI ML Club 活动纪要 July 21, 2019
- 第二季第11场 AI ML Club 活动纪要 May 27, 2019
- 第二季第七次CAIC沙龙活动纪要 April 13, 2019