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Task Discrepancy Maximization for Fine-grained Few-Shot Classification

Task Discrepancy Maximization for Fine-grained Few-Shot Classification

4 July 2022
Subeen Lee
WonJun Moon
Jae-Pil Heo
ArXivPDFHTML

Papers citing "Task Discrepancy Maximization for Fine-grained Few-Shot Classification"

7 / 7 papers shown
Title
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
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
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
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
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
30
55
0
15 Jun 2022
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
630
0
17 Oct 2019
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
1