trans_learn:2021projects

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2021 Project Page

Meeting Notes

2021/10/6

Attendee: Hanbing, Yanru, Yang
Meeting summary:
- Yanru: on reading: Unsupervised Domain Adaptation for Semantic Segmentation via CBST
- Hanbing
  - research: optimal transport and domain adaptation problem
  - reading: Joint distribution optimal transportation for domain adaptation; Few-Shot Cross Domain Battery Capacity Estimation
  - slides: optimal transport and domain adaptation

TODO:
- Yanru: make a plan of future work; deeper understanding of papers/ better presentation of work
- Hanbing: do some research on the application of adversarial network to domain adaptation problem

2021/10/13

Attendee: Hanbing, Yanru, Yang
Meeting summary:
- Yanru:
  - reading: transferable semi-supervised semantic segmentation; Adversarial Examples for Semantic Segmentation and Object Detection
  - experiment: tried MIoU metric for H-score evaluation; on coding new dataset
- Hanbing:
  - reading: Adversarial Discriminative Domain Adaptation
  - research: Adversarial network in Domain Adaptation
  - slides: adversarial domain adaptation
TODO:
- Yanru:
  - more relative reading on transfer learning & U-net (also maybe some survey on semantic segmentation & related area);
  - experiment redesign
    - target and source setting (H-score more suitable for task transfer)
    - dataset with fewer noise & lower difficulty
    - new calculate method for H-score (devision depending on label instead of pixel location)
- Hanbing:
  - deeper reading ADDA to find its advantage over other adversarial domain adaptation works
  - modify the ADDA model to deal with battery features

2021/10/20

Attendee: Hanbing, Yanru, Yang
Meeting summary:
- Yanru:
  - experiment: H-score trial on task transfer using ADE20K – especially good results for 'sky' task
- Hanbing:
  - experiment: ADDA using battery pulse data
  - slides:adda_test.pptx
TODO:
- Yanru:
  - recode the experiment with pytorch
  - cityscape dataset preprocessing
  - change of target data size
  - reading
- Hanbing:
  - change convolution layer to fully connect or conv1D
  - transform battery data into frequency domain

trans_learn/2021projects.1634804570.txt.gz · Last modified: 2021/10/21 04:22 by hanbing