Relational Embedding for Few-Shot Classification

22 August 2021

Papers citing "Relational Embedding for Few-Shot Classification"

26 / 26 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Y. Liu Jiangrong Shen Qiang Zhang 28 0 0 12 May 2025
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 35 0 0 25 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 58 1 0 05 Jun 2024
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 24 2 0 22 Sep 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 26 2 0 09 Jul 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 16 10 0 26 Apr 2023
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 35 1 0 16 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 21 8 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 24 12 0 13 Nov 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 23 3 0 05 Oct 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 22 15 0 18 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying Chen J. Hsieh Ming-Ching Chang 15 0 0 03 Sep 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 11 6 0 18 Jul 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 17 55 0 15 Jun 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Tian Yun Usha Bhalla Ellie Pavlick Chen Sun ReLM CoGe VLM LRM 31 23 0 31 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 26 59 0 29 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 25 45 0 17 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 11 4 0 27 Feb 2022
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 110 66 0 10 Sep 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 26 9 0 05 Jan 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 206 330 0 22 Jul 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 92 544 0 16 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 629 0 17 Oct 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 196 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017