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Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning

Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning

7 June 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
ArXivPDFHTML

Papers citing "Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning"

15 / 15 papers shown
Title
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
61
4
0
03 May 2024
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Yating Xu
Conghui Hu
Na Zhao
Gim Hee Lee
3DPC
25
6
0
20 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
35
0
0
08 Sep 2023
Multi-Modal Prototypes for Open-World Semantic Segmentation
Multi-Modal Prototypes for Open-World Semantic Segmentation
Yu-Hao Yang
Chaofan Ma
Chen Ju
Fei Zhang
Jiangchao Yao
Ya-Qin Zhang
Yanfeng Wang
VLM
42
9
0
05 Jul 2023
A Closer Look at Few-Shot 3D Point Cloud Classification
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye
Hongyuan Zhu
Bo-Wen Zhang
Tao Chen
3DPC
29
15
0
31 Mar 2023
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei
Hesheng Xu
Faen Zhang
Yuxin Peng
Wei Zhou
27
14
0
28 Sep 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
22
20
0
04 May 2022
Bayesian Embeddings for Few-Shot Open World Recognition
Bayesian Embeddings for Few-Shot Open World Recognition
John Willes
James Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven Waslander
BDL
OffRL
22
18
0
29 Jul 2021
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental Learning
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
22
73
0
27 Jul 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
BDL
33
19
0
24 Dec 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
21
101
0
08 Sep 2020
Learning to Segment the Tail
Learning to Segment the Tail
Xinting Hu
Yi Jiang
Kaihua Tang
Jingyuan Chen
C. Miao
Hanwang Zhang
VLM
CLL
22
80
0
02 Apr 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
55
31
0
18 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
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