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Learning Compositional Representations for Few-Shot Recognition

Learning Compositional Representations for Few-Shot Recognition

21 December 2018
P. Tokmakov
Yu-xiong Wang
M. Hebert
    OCL
ArXivPDFHTML

Papers citing "Learning Compositional Representations for Few-Shot Recognition"

25 / 25 papers shown
Title
When does compositional structure yield compositional generalization? A kernel theory
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAI
CoGe
73
5
0
26 May 2024
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Moon Ye-Bin
D. Choi
Y. Kwon
Junsik Kim
Tae-Hyun Oh
ISeg
35
6
0
20 Feb 2023
Concept Discovery for Fast Adapatation
Concept Discovery for Fast Adapatation
Shengyu Feng
Hanghang Tong
OffRL
33
0
0
19 Jan 2023
Disentangled Representation Learning
Disentangled Representation Learning
Xin Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
37
78
0
21 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection
Interpretable Few-shot Learning with Online Attribute Selection
M. Zarei
Majid Komeili
FAtt
35
1
0
16 Nov 2022
A Unified Framework with Meta-dropout for Few-shot Learning
A Unified Framework with Meta-dropout for Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
16
1
0
12 Oct 2022
Contributions of Shape, Texture, and Color in Visual Recognition
Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge
Yao Xiao
Zhi-Qin John Xu
X. Wang
Laurent Itti
3DH
16
26
0
19 Jul 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
23
61
0
05 May 2022
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
34
37
0
04 Apr 2022
Do Vision-Language Pretrained Models Learn Composable Primitive
  Concepts?
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Tian Yun
Usha Bhalla
Ellie Pavlick
Chen Sun
ReLM
CoGe
VLM
LRM
31
23
0
31 Mar 2022
H4D: Human 4D Modeling by Learning Neural Compositional Representation
H4D: Human 4D Modeling by Learning Neural Compositional Representation
Boyan Jiang
Yinda Zhang
Xingkui Wei
Xiangyang Xue
Yanwei Fu
3DH
42
19
0
02 Mar 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
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric
  Learning
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
45
20
0
30 Oct 2021
Prototype Completion for Few-Shot Learning
Prototype Completion for Few-Shot Learning
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
63
18
0
11 Aug 2021
Learning Compositional Representation for 4D Captures with Neural ODE
Learning Compositional Representation for 4D Captures with Neural ODE
Boyan Jiang
Yinda Zhang
Xingkui Wei
Xiangyang Xue
Yanwei Fu
27
28
0
15 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou
B. Yu
Yu Qiao
Xiaojiang Peng
Dacheng Tao
33
96
0
15 Mar 2021
Meta-Generating Deep Attentive Metric for Few-shot Classification
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
42
28
0
03 Dec 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image
  Classification
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
19
126
0
29 Nov 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image
  Recognition
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen
Liang Lin
Riquan Chen
X. Hui
Hefeng Wu
21
153
0
20 Sep 2020
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
Concept Learners for Few-Shot Learning
Concept Learners for Few-Shot Learning
Kaidi Cao
Maria Brbic
J. Leskovec
VLM
OffRL
30
4
0
14 Jul 2020
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
24
56
0
20 Dec 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
31
271
0
19 Feb 2019
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
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
389
11,700
0
09 Mar 2017
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