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Baseline++

README.md

A Closer Look at Few-shot Classification

Introduction

Name: Baseline++
Embed.: Conv64F/ResNet12/ResNet18
Type: Fine-tuning
Venue: ICLR'19
Codes: CloserLookFewShot
  • When reproduceingthis method with the same setting in the original paper, you should skip validation during training-stage and choose the last model it saves.

Cite this work with:

@inproceedings{DBLP:conf/iclr/ChenLKWH19,
  author    = {Wei{-}Yu Chen and
               Yen{-}Cheng Liu and
               Zsolt Kira and
               Yu{-}Chiang Frank Wang and
               Jia{-}Bin Huang},
  title     = {A Closer Look at Few-shot Classification},
  booktitle = {7th International Conference on Learning Representations, {ICLR} 2019,
               New Orleans, LA, USA, May 6-9, 2019},
  year      = {2019},
  url       = {https://openreview.net/forum?id=HkxLXnAcFQ}
}

Results and Models

Classification

Embedding 📖 miniImageNet (5,1) 💻 miniImageNet (5,1) 📖miniImageNet (5,5) 💻 miniImageNet (5,5) 📝 Comments
1 Conv64F - 48.86 ± 0.35 ⬇️ 📋 - 63.29 ± 0.30 ⬇️ 📋 Table2
2 ResNet12 - 56.75 ± 0.38 ⬇️ 📋 - 66.36 ± 0.29 ⬇️ 📋 Table2
3 Conv64F 48.24 46.21 ± 0.31 ⬇️ 📋 66.43 65.18 ± 0.30 ⬇️ 📋 Reproduce
Embedding 📖 tieredImageNet (5,1) 💻 tieredImageNet (5,1) 📖tieredImageNet (5,5) 💻 tieredImageNet (5,5) 📝 Comments
1 Conv64F - 55.94 ± 0.39 ⬇️ 📋 - 73.80 ± 0.32 ⬇️ 📋 Table2
2 ResNet12 - 65.95 ± 0.42 ⬇️ 📋 - 82.25 ± 0.31 ⬇️ 📋 Table2