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insights-into-few-shot-learning-for-scene-classification's Introduction

Insights-into-few-shot-learning-for-scene-classification

Datasets

MiniSun

The MiniSun dataset contains 100 classes randomly chosen from sun397 with 100 images of size 84×84 pixels per class. It is split into 64 base classes, 16 validation classes and 20 novel classes.

MiniPlaces

The MiniPlaces dataset contains 100 classes randomly chosen from Places with 600 images of size 84×84 pixels per class. It is split into 64 base classes, 16 validation classes and 20 novel classes.

Pipeline

Proposed models

Results

MiniSun
k-way 5 5
n-shot 5 1
MobileNetV2 20.16 ± 0.011
Conv4 39.14 ± 0.015 26.03 ± 0.013
Conv6 33.42 ± 0.015 24.58 ± 0.012
Conv8 29.32 ± 0.012 21.48 ± 0.011
MobileBlock1 40.12 ± 0.015 30.86 ± 0.01
MobileConv 47.5 ± 0.0158 30.72 ± 0.013
MiniPlaces
k-way 5 5
n-shot 5 1
Conv4 27.9 ± 0.014 29.62 ± 0.013
Conv6 19.84 ± 0.007 21.42 ± 0.009
Conv8 25.2 ± 0.011 21.14 ± 0.004
MobileConv 34.64 ± 0.014 26.36 ± 0.013

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