Few-shot semantic segmentation with self-supervision from pseudo-classes

Few-shot semantic segmentation with self-supervision from pseudo-classes

Show other versions (1)

Despite the success of deep learning methods for semantic segmentation, few-shot semantic segmentation remains a challenging task due to the limited training data and the generalisation requirement for unseen classes. While recent progress has been particularly encouraging, we discover that existing...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Li, Y, Data, GWP, Fu, Y, Hu, Y, Prisacariu, VA
Fformat:	Conference item
Iaith:	English
Cyhoeddwyd:	British Machine Vision Association 2021

Eitemau Tebyg

Few-shot semantic segmentation with self-supervision from pseudo-classes
gan: Li, Y, et al.
Cyhoeddwyd: (2021)

Cos R-CNN for online few-shot object detection
gan: Data, GWP, et al.
Cyhoeddwyd: (2023)

Self-regularized prototypical network for few-shot semantic segmentation
gan: Ding, Henghui, et al.
Cyhoeddwyd: (2023)

FEW-SHOT image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning
gan: Li, Y, et al.
Cyhoeddwyd: (2022)

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
gan: Li, Y, et al.
Cyhoeddwyd: (2023)

Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation
gan: Lai, Lvlong, et al.
Cyhoeddwyd: (2022)

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
gan: Li, Y, et al.
Cyhoeddwyd: (2022)

Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning
gan: Li, Y, et al.
Cyhoeddwyd: (2022)

Rethinking class relations: Absolute-relative supervised and unsupervised few-shot learning
gan: Zhang, H, et al.
Cyhoeddwyd: (2021)

Hybrid mamba for few-shot segmentation
gan: Xu, Qianxiong, et al.
Cyhoeddwyd: (2025)

Meta-Learning and Self-Supervised Pretraining for Few-shot Image Translation
gan: Rugina, Ileana
Cyhoeddwyd: (2022)

Eliminating feature ambiguity for few-shot segmentation
gan: Xu, Qianxiong, et al.
Cyhoeddwyd: (2024)

Meta-learning for semi-supervised few-shot classification
gan: Tenenbaum, Joshua B
Cyhoeddwyd: (2020)

Few-Shot Semi-Supervised Robust Text Classification with MAML
gan: Kang, Isabella
Cyhoeddwyd: (2022)

CANet : class-agnostic segmentation networks with iterative refinement and attentive few-shot learning
gan: Zhang, Chi, et al.
Cyhoeddwyd: (2020)

Semantic-guided distribution calibrating for few-shot classification
gan: Qiu, Guochen
Cyhoeddwyd: (2022)

CRNet : cross-reference networks for few-shot segmentation
gan: Liu, Weide, et al.
Cyhoeddwyd: (2020)

Discovering class-specific pixels for weakly-supervised semantic segmentation
gan: Chaudhry, A, et al.
Cyhoeddwyd: (2017)

Generalized few-shot 3D point cloud segmentation
gan: Yang, Shuqian
Cyhoeddwyd: (2024)

Computationally-efficient vision transformer for medical image semantic segmentation via dual pseudo-label supervision
gan: Wang, Z, et al.
Cyhoeddwyd: (2022)

Zero-shot and few-shot learning with knowledge graphs: a comprehensive survey
gan: Chen, J, et al.
Cyhoeddwyd: (2023)

RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar
gan: Kaul, P, et al.
Cyhoeddwyd: (2021)

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
gan: Wilcox, Ethan, et al.
Cyhoeddwyd: (2021)

Affinity attention graph neural network for weakly supervised semantic segmentation
gan: Zhang, B, et al.
Cyhoeddwyd: (2021)

CRCNet: few-shot segmentation with cross-reference and region–global conditional networks
gan: Liu, Weide, et al.
Cyhoeddwyd: (2023)

Bootstrapping the performance of webly supervised semantic segmentation
gan: Shen, Tong, et al.
Cyhoeddwyd: (2020)

Learning to compare: Relation network for few-shot learning
gan: Sung, F, et al.
Cyhoeddwyd: (2018)

Bottom-up top-down cues for weakly-supervised semantic segmentation
gan: Hou, Q, et al.
Cyhoeddwyd: (2018)

Cross-domain few-shot segmentation via iterative support-query correspondence mining
gan: Nie, Jiahao, et al.
Cyhoeddwyd: (2024)

Adaptive deep few-shot learning
gan: Gu, Rong
Cyhoeddwyd: (2023)

Few-shot learning for text classification
gan: Cao, Jianzhe
Cyhoeddwyd: (2025)

Model-agnostic origin attribution of generated images with few-shot examples
gan: Liu, F, et al.
Cyhoeddwyd: (2024)

Semantic-aware auto-encoders for self-supervised representation learning
gan: Wang, G, et al.
Cyhoeddwyd: (2022)

Zero-shot text classification via self-supervised tuning
gan: Liu, Chaoqun, et al.
Cyhoeddwyd: (2023)

Disentangled feature representation for few-shot image classification
gan: Cheng, Hao, et al.
Cyhoeddwyd: (2023)

Few-shot text classification with distributional signatures
gan: Wu, Menghua,M. Eng.Massachusetts Institute of Technology.
Cyhoeddwyd: (2021)

Infinite mixture prototypes for few-shot learning
gan: Allen, Kelsey Rebecca, et al.
Cyhoeddwyd: (2021)

Few Shot Learning for Rare Disease Diagnosis
gan: Alsentzer, Emily
Cyhoeddwyd: (2023)

Lexicon Learning for Few Shot Sequence Modeling
gan: Akyurek, Ekin, et al.
Cyhoeddwyd: (2022)

Few-shot Conformal Prediction with Auxiliary Tasks
gan: Fisch, Adam, et al.
Cyhoeddwyd: (2022)