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An exploratory project which wants to find ways to learn from noisy data

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WebVision

WebVision is an exploratory project which wants to find ways to learn from noisy data.

The process pipeline is as follows:

  • Filter data
  • Train baseline model
  • Extract features and clustering
  • Design curriculim learning strategy
  • Train models from easy to hard

Please check out this site for dataset details.

Results

Comparison of Models

fig_1

Comparision of class-specific accuracy

fig_2

Precision-Recall Curve

fig_3

Training Curve

Q10_denos

fig_4

Data Visulization

(1) Examples in Tench

fig_5

(2) All images of Bulbul

fig_6

(3) Clean images of Bulbul

fig_7

(4) Noisy images of Bulbul

fig_8

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An exploratory project which wants to find ways to learn from noisy data

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