Few-Shot Learning with Global Class Representations

14 August 2019

Papers citing "Few-Shot Learning with Global Class Representations"

23 / 23 papers shown

Title
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 24 0 0 23 Nov 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 32 7 0 16 Oct 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 24 40 0 03 Apr 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 24 7 0 29 Nov 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 20 0 0 02 Oct 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 32 32 0 25 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 24 5 0 15 Feb 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 33 68 0 11 Jan 2022
Few-Shot Object Detection by Attending to Per-Sample-Prototype Hojun Lee Myunggi Lee Nojun Kwak ObjD 33 30 0 16 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 63 18 0 11 Aug 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 24 1 0 12 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 28 9 0 28 Jun 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 36 1 0 05 May 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 33 68 0 08 Jan 2021
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah SSL 31 91 0 17 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 19 192 0 28 May 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 22 80 0 02 Apr 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 11 12 0 06 Feb 2020
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 25 10 0 28 Nov 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 371 11,700 0 09 Mar 2017