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Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained
  Image Classification

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification

4 August 2019
Huaxi Huang
Junjie Zhang
Jian Zhang
Jingsong Xu
Qiang Wu
ArXivPDFHTML

Papers citing "Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification"

13 / 13 papers shown
Title
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
Aisha Zulfiqar
Ebroul Izquiedro
40
0
0
12 Jan 2025
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot
  Image Classification
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Jijie Wu
Dongliang Chang
Aneeshan Sain
Xiaoxu Li
Zhanyu Ma
Jie Cao
Jun Guo
Yi-Zhe Song
19
35
0
30 Nov 2022
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Pengfei Zhu
Xinjie Yao
Yu Wang
Meng Cao
Binyuan Hui
Shuai Zhao
Qinghua Hu
22
23
0
29 Aug 2022
Few-shot Fine-grained Image Classification via Multi-Frequency
  Neighborhood and Double-cross Modulation
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
13
6
0
18 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for
  Few-Shot Fine-Grained Image Classification
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Bo-Wen Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Botian Shi
ViT
21
31
0
02 Jul 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning
GDC- Generalized Distribution Calibration for Few-Shot Learning
Shakti Kumar
Hussain Zaidi
20
8
0
11 Apr 2022
Shaping Visual Representations with Attributes for Few-Shot Recognition
Shaping Visual Representations with Attributes for Few-Shot Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
34
7
0
13 Dec 2021
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
18
25
0
26 Oct 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
24
21
0
21 Mar 2021
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
29
29
0
30 Nov 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping-Chia Huang
Winston H. Hsu
21
14
0
19 May 2020
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
338
11,684
0
09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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