Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning

1 March 2021

Salman Khan

Papers citing "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning"

22 / 22 papers shown

Title
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
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 18 10 0 26 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 27 1 0 16 Jan 2023
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 29 2 0 28 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... J. Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 36 6 0 02 Nov 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
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan F. Khan M. Shah 31 49 0 05 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 343 0 13 May 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
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding Mohamed Afham Isuru Dissanayake Dinithi Dissanayake Amaya Dharmasiri Kanchana Thilakarathna Ranga Rodrigo 3DPC 16 251 0 01 Mar 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 33 37 0 24 Jan 2022
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 33 30 0 01 Dec 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 36 35 0 16 Sep 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision Zhong Ji Jin Li Qiang Wang Zhongfei Zhang CLL 25 18 0 03 Sep 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 42 87 0 16 Jul 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 30 1 0 05 May 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 212 330 0 22 Jul 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017