Compositional Prototypical Networks for Few-Shot Classification

11 June 2023

Papers citing "Compositional Prototypical Networks for Few-Shot Classification"

24 / 24 papers shown

Title
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 74 7 0 13 Dec 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 75 35 0 08 Nov 2021
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning Shiming Chen Guosen Xie Yang Liu Qinmu Peng Baigui Sun Hao Li Xinge You Ling Shao 110 128 0 30 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning Zhong Ji Zhishen Hou Xiyao Liu Yanwei Pang Jungong Han 87 21 0 03 Sep 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 66 17 0 09 Aug 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 86 24 0 26 Apr 2021
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 49 26 0 12 May 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 209 347 0 09 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 265 640 0 17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 305 647 0 19 Sep 2019
Measuring Compositionality in Representation Learning Jacob Andreas CoGe 76 149 0 19 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 139 272 0 19 Feb 2019
Learning Compositional Representations for Few-Shot Recognition P. Tokmakov Yu-Xiong Wang M. Hebert OCL 53 126 0 21 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 138 666 0 10 Dec 2018
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders Edgar Schönfeld Sayna Ebrahimi Samarth Sinha Trevor Darrell Zeynep Akata DRL 89 597 0 05 Dec 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 115 914 0 30 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 148 1,372 0 16 Jul 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 76 235 0 15 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 308 4,049 0 16 Nov 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 366 27,244 0 20 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 124 2,008 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,333 0 13 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 747 37,890 0 20 May 2016