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GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
v1v2 (latest)

GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection

27 December 2023
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
    ObjD
ArXiv (abs)PDFHTML

Papers citing "GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection"

38 / 38 papers shown
Title
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
90
9
0
05 Oct 2022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation
  Exploitation
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang
Zhipeng Luo
Kaiwen Cui
Shijian Lu
Eric P. Xing
ViT
106
98
0
30 Jul 2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object
  Detection
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
Shuang Wu
Wenjie Pei
Dianwen Mei
Fanglin Chen
Jiandong Tian
Guangming Lu
VLMObjD
68
31
0
22 Jul 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,149
0
01 Mar 2022
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph
  Convolutional Networks
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
G. Han
Yicheng He
Shiyuan Huang
Jiawei Ma
Shih-Fu Chang
ObjD
125
103
0
17 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
Rongkai Ma
Pengfei Fang
Gilat Avraham
Yan Zuo
Tianyu Zhu
Tom Drummond
Mehrtash Harandi
VLM
49
13
0
07 Dec 2021
Few-Shot Object Detection via Association and DIscrimination
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao
Jiaqi Wang
Ying Jin
Tong Wu
Kai-xiang Chen
Ziwei Liu
Dahua Lin
ObjD
74
84
0
23 Nov 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Limeng Qiao
Yuxuan Zhao
Zhiyuan Li
Xi Qiu
Jianan Wu
Chi Zhang
ObjD
104
202
0
20 Aug 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-Xiong Wang
ObjD
102
112
0
04 May 2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with
  Attentive Feature Alignment
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
G. Han
Shiyuan Huang
Jiawei Ma
Yicheng He
Shih-Fu Chang
ObjD
61
167
0
15 Apr 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot
  Object Detection
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Hanzhe Hu
Shuai Bai
Aoxue Li
J. Cui
Liwei Wang
ObjD
57
155
0
30 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
81
105
0
25 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
113
376
0
10 Mar 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
170
183
0
02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
92
86
0
01 Mar 2021
Restoring Negative Information in Few-Shot Object Detection
Restoring Negative Information in Few-Shot Object Detection
Yukuan Yang
Fangyun Wei
Miaojing Shi
Guoqi Li
ObjD
93
62
0
22 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
395
6,837
0
13 Jun 2020
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
A. Osokin
Denis Sumin
V. Lomakin
ObjD
122
58
0
15 Mar 2020
One-Shot Object Detection with Co-Attention and Co-Excitation
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh
Yi-Chen Lo
Hwann-Tzong Chen
Tyng-Luh Liu
ObjD
102
166
0
28 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
210
12,124
0
13 Nov 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
141
531
0
06 Aug 2019
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjDOffRL
94
699
0
05 Dec 2018
RepMet: Representative-based metric learning for classification and
  one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection
Leonid Karlinsky
J. Shtok
Sivan Harary
Eli Schwartz
Mattias Marder
Rogerio Feris
Raja Giryes
A. Bronstein
VLMObjD
121
319
0
12 Jun 2018
Learning to Propagate Labels: Transductive Propagation Network for
  Few-shot Learning
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu
Juho Lee
Minseop Park
Saehoon Kim
Eunho Yang
Sung Ju Hwang
Yi Yang
108
668
0
25 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
96
1,313
0
23 May 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
100
930
0
21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal
Guo-Jun Qi
M. Shah
86
460
0
20 May 2018
LSTD: A Low-Shot Transfer Detector for Object Detection
LSTD: A Low-Shot Transfer Detector for Object Detection
Hao Chen
Yali Wang
Guoyou Wang
Yu Qiao
ObjD
78
340
0
05 Mar 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
108
677
0
16 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
306
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,150
0
15 Mar 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
827
11,943
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
154
2,421
0
12 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
525
62,377
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
424
43,814
0
01 May 2014
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