Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation ; volume:3 ; number:1 ; day:27 ; month:11 ; year:2023 ; pages:1-11 ; date:12.2023
Autonomous intelligent systems ; 3, Heft 1 (27.11.2023), 1-11, 12.2023

Creator: Chen, Xinyue
Wang, Yueyi
Xu, Yingyue
Shi, Miaojing

Contributor: SpringerLink (Online service)

DOI: 10.1007/s43684-023-00058-2

URN: urn:nbn:de:101:1-2024021413432642243875

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:33 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Chen, Xinyue
Wang, Yueyi
Xu, Yingyue
Shi, Miaojing
SpringerLink (Online service)

Other Objects (12)

Few-Shot Semantic Segmentation via Mask Aggregation

Query semantic reconstruction for background in few-shot segmentation

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction

Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation

nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Few-Shot Meta-Learning in Heterogeneous Contexts

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Few-Shot Semantic Segmentation via Mask Aggregation

Query semantic reconstruction for background in few-shot segmentation

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction

Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation

nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Few-Shot Meta-Learning in Heterogeneous Contexts

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Few-Shot Semantic Segmentation via Mask Aggregation

Query semantic reconstruction for background in few-shot segmentation

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction

Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation

nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Few-Shot Meta-Learning in Heterogeneous Contexts

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Few-Shot Semantic Segmentation via Mask Aggregation

Query semantic reconstruction for background in few-shot segmentation

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction

Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation

nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Few-Shot Meta-Learning in Heterogeneous Contexts

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Few-Shot Semantic Segmentation via Mask Aggregation

Query semantic reconstruction for background in few-shot segmentation

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction

Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation

nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Few-Shot Meta-Learning in Heterogeneous Contexts

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Few-Shot Semantic Segmentation via Mask Aggregation

Query semantic reconstruction for background in few-shot segmentation

Few-shot anime pose transfer

Are LSTMs good few-shot learners?

Global–Local Query-Support Cross-Attention for Few-Shot Semantic Segmentation

Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction

Transductive meta-learning with enhanced feature ensemble for few-shot semantic segmentation

nHi-SEGA: n-Hierarchy SEmantic Guided Attention for few-shot learning

Few-Shot Meta-Learning in Heterogeneous Contexts

Multimodal few-shot classification without attribute embedding

Explaining Siamese networks in few-shot learning

Related objects

Reset password