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CrossTransformers: spatially-aware few-shot transfer

CrossTransformers: spatially-aware few-shot transfer

22 July 2020
Carl Doersch
Ankush Gupta
Andrew Zisserman
    ViT
ArXivPDFHTML

Papers citing "CrossTransformers: spatially-aware few-shot transfer"

50 / 71 papers shown
Title
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
Thamiris Coelho
Leo S. F. Ribeiro
João Macedo
J. A. dos Santos
Sandra Avila
29
0
0
10 May 2025
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
Cross-Modal Attention Alignment Network with Auxiliary Text Description
  for zero-shot sketch-based image retrieval
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval
Hanwen Su
G. Song
K. Huang
Jiyan Wang
Ming Yang
48
1
0
01 Jul 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
34
1
0
21 May 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
29
0
0
29 Jan 2024
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following
  Strategies
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
25
2
0
16 Oct 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
32
0
0
04 Sep 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
32
14
0
27 Jul 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving
  Few-Shot Learning
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
18
10
0
26 Apr 2023
$R^{2}$Former: Unified $R$etrieval and $R$eranking Transformer for Place
  Recognition
R2R^{2}R2Former: Unified RRRetrieval and RRReranking Transformer for Place Recognition
Sijie Zhu
Linjie Yang
C. L. P. Chen
M. Shah
Xiaohui Shen
Heng Wang
ViT
28
87
0
06 Apr 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
23
15
0
31 Mar 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning
An Adaptive Plug-and-Play Network for Few-Shot Learning
Hao Li
Li Li
Yun-Ya Huang
Ning Li
Yongtao Zhang
26
3
0
18 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
28
7
0
12 Feb 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
32
16
0
06 Jan 2023
Co-training $2^L$ Submodels for Visual Recognition
Co-training 2L2^L2L Submodels for Visual Recognition
Hugo Touvron
Matthieu Cord
Maxime Oquab
Piotr Bojanowski
Jakob Verbeek
Hervé Jégou
VLM
32
9
0
09 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Xin Ni
Yong Liu
Hao Wen
Yatai Ji
Jing Xiao
Yujiu Yang
29
9
0
09 Dec 2022
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
Breaking Immutable: Information-Coupled Prototype Elaboration for
  Few-Shot Object Detection
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Xiaonan Lu
Wenhui Diao
Yongqiang Mao
Junxi Li
Peijin Wang
Xian Sun
Kun Fu
ObjD
29
33
0
27 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
24
12
0
13 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive
  Multi-Distance Perspective
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
...
J. Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
36
6
0
02 Nov 2022
A Comparative Attention Framework for Better Few-Shot Object Detection
  on Aerial Images
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
21
3
0
25 Oct 2022
Robust Self-Supervised Learning with Lie Groups
Robust Self-Supervised Learning with Lie Groups
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
SSL
OOD
38
6
0
24 Oct 2022
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency &
  Quantifying Road Damage
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage
Haris Iqbal
Hemang Chawla
Arnav Varma
Terence Brouns
A. Badar
Elahe Arani
Bahram Zonooz
21
0
0
07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
23
3
0
05 Oct 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying Chen
J. Hsieh
Ming-Ching Chang
15
0
0
03 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
BDL
73
24
0
01 Sep 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
P. JishnuJaykumar
Yu-Wei Chao
Yu Xiang
17
11
0
06 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
19
31
0
02 Jul 2022
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
22
55
0
15 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
  Samples
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
30
39
0
08 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
343
0
13 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
46
3,334
0
29 Apr 2022
Where in the World is this Image? Transformer-based Geo-localization in
  the Wild
Where in the World is this Image? Transformer-based Geo-localization in the Wild
Shraman Pramanick
E. Nowara
Joshua Gleason
Carlos D. Castillo
Rama Chellappa
ViT
18
30
0
29 Apr 2022
Few-shot Learning with Noisy Labels
Few-shot Learning with Noisy Labels
Kevin J Liang
Samrudhdhi B. Rangrej
Vladan Petrovic
Tal Hassner
NoLa
19
47
0
12 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for
  Few-Shot Classification
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
23
160
0
09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction
  with Selected Sampling
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
R. Tao
Han Zhang
Yutong Zheng
Marios Savvides
31
20
0
07 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
28
27
0
06 Apr 2022
Few-Shot Object Detection with Fully Cross-Transformer
Few-Shot Object Detection with Fully Cross-Transformer
G. Han
Jiawei Ma
Shiyuan Huang
Long Chen
Shih-Fu Chang
20
130
0
28 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Philip Chikontwe
Soopil Kim
Sang Hyun Park
30
32
0
25 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao
Xun Guo
Yan Lu
ViT
ObjD
22
21
0
17 Mar 2022
Graph Masked Autoencoders with Transformers
Graph Masked Autoencoders with Transformers
Sixiao Zhang
Hongxu Chen
Haoran Yang
Xiangguo Sun
Philip S. Yu
Guandong Xu
21
18
0
17 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop
Advances in MetaDL: AAAI 2021 challenge and workshop
Adrian El Baz
Isabelle M Guyon
Zhengying Liu
J. V. Rijn
Sébastien Treguer
Joaquin Vanschoren
16
7
0
01 Feb 2022
Visual Representation Learning with Self-Supervised Attention for
  Low-Label High-data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
Prarthana Bhattacharyya
Chenge Li
Xiaonan Zhao
István Fehérvári
Jason Sun
ViT
34
2
0
22 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
29
2
0
06 Jan 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
27
148
0
20 Dec 2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Anirudh Thatipelli
Sanath Narayan
Salman Khan
Rao Muhammad Anwer
F. Khan
Bernard Ghanem
ViT
25
88
0
09 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma
Pengfei Fang
Tom Drummond
Mehrtash Harandi
19
45
0
03 Dec 2021
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Nicola Messina
Giuseppe Amato
F. Carrara
Claudio Gennaro
Fabrizio Falchi
ViT
LRM
19
11
0
29 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
25
2
0
08 Nov 2021
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