PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

Kaixin Wang; Jun Hao Liew; Yingtian Zou; Daquan Zhou; Jiashi Feng

doi:https://doi.org/10.1109/iccv.2019.00929

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

2019 · 1,431 citations · 0 from inside this corpus

Kaixin Wang, Jun Hao Liew, Yingtian Zou low, Daquan Zhou, Jiashi Feng

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

4 of 4 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

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PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment→Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksLegacy edge — source detail unavailable
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment→Prototypical Networks for Few-shot LearningLegacy edge — source detail unavailable
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment→Optimization as a Model for Few-Shot LearningLegacy edge — source detail unavailable
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks→Optimization as a Model for Few-Shot LearningLegacy edge — source detail unavailable
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Prototypical Networks for Few-shot LearningLegacy edge — source detail unavailable
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksLegacy edge — source detail unavailable
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Optimization as a Model for Few-Shot LearningLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	5,794
Prototypical Networks for Few-shot Learning	2017	5,204
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]		4,858
Optimization as a Model for Few-Shot Learning	2017	2,436

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Topics

Domain Adaptation and Few-Shot Learning	Computer Science
Multimodal Machine Learning Applications	Computer Science
Advanced Neural Network Applications	Computer Science

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complete

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supports5 author record(s) attached.
supports49 reference(s) recorded.
supportsThe DOI's year agrees with the publication year.
supportsA title is present.

Provenance

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