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Frustratingly Simple Few-Shot Object Detection

Frustratingly Simple Few-Shot Object Detection

16 March 2020
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
    ObjD
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Papers citing "Frustratingly Simple Few-Shot Object Detection"

50 / 251 papers shown
Title
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
19
196
0
20 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Anuj Tambwekar
Kshitij Agrawal
Anay Majee
A. Subramanian
ObjD
11
5
0
18 Aug 2021
Learning Open-World Object Proposals without Learning to Classify
Learning Open-World Object Proposals without Learning to Classify
Dahun Kim
Tsung-Yi Lin
A. Angelova
In So Kweon
Weicheng Kuo
SSeg
11
123
0
15 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection
Dynamic Relevance Learning for Few-Shot Object Detection
Weijie Liu
Chong Wang
Haohe Li
Shenghao Yu
Jiafei Wu
ObjD
18
10
0
04 Aug 2021
Towards Accurate Localization by Instance Search
Towards Accurate Localization by Instance Search
Yi-Geng Hong
Hui-Chu Xiao
Wanlei Zhao
ObjD
8
3
0
11 Jul 2021
On Model Calibration for Long-Tailed Object Detection and Instance
  Segmentation
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan
Cheng Zhang
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
21
45
0
05 Jul 2021
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
Mateusz Michalkiewicz
Stavros Tsogkas
Sarah Parisot
Mahsa Baktash
Anders P. Eriksson
Eugene Belilovsky
3DV
3DPC
11
2
0
11 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
25
115
0
08 Jun 2021
Training Domain-invariant Object Detector Faster with Feature Replay and
  Slow Learner
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
Chaehyeon Lee
Junghoon Seo
Heechul Jung
13
2
0
31 May 2021
Generalized Few-Shot Object Detection without Forgetting
Generalized Few-Shot Object Detection without Forgetting
Zhibo Fan
Yuchen Ma
Zeming Li
Jian-jun Sun
VLM
ObjD
32
168
0
20 May 2021
Class-Incremental Few-Shot Object Detection
Class-Incremental Few-Shot Object Detection
Pengyang Li
Yanan Li
Han Cui
Donghui Wang
CLL
19
14
0
17 May 2021
Incremental Few-Shot Instance Segmentation
Incremental Few-Shot Instance Segmentation
Dan Andrei Ganea
B. Boom
R. Poppe
CLL
12
68
0
11 May 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
55
109
0
04 May 2021
Few-Shot Video Object Detection
Few-Shot Video Object Detection
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
29
11
0
30 Apr 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
21
163
0
15 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for
  Long-Tailed Detection
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Nadine Chang
Zhiding Yu
Yu-xiong Wang
Anima Anandkumar
Sanja Fidler
J. Álvarez
26
37
0
12 Apr 2021
Procrustean Training for Imbalanced Deep Learning
Procrustean Training for Imbalanced Deep Learning
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
13
31
0
05 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
19
154
0
30 Mar 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect
  Inspection
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection
Gongjie Zhang
Kaiwen Cui
Tzu-Yi Hung
Shijian Lu
11
110
0
28 Mar 2021
When Few-Shot Learning Meets Video Object Detection
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu
Gaoang Wang
Lin Chen
S. Raschka
Jiebo Luo
ObjD
33
1
0
26 Mar 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Amirreza Shaban
Amir M. Rahimi
Thalaiyasingam Ajanthan
Byron Boots
Richard I. Hartley
WSOD
21
5
0
25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
32
80
0
24 Mar 2021
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class
  Correlation Exploitation
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
Gongjie Zhang
Zhipeng Luo
Kaiwen Cui
Shijian Lu
ViT
15
78
0
22 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
31
370
0
10 Mar 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
F. Khan
V. Balasubramanian
ObjD
24
448
0
03 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
94
177
0
02 Mar 2021
AdeNet: Deep learning architecture that identifies damaged electrical
  insulators in power lines
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
Ademola Okerinde
L. Shamir
W. Hsu
T. Theis
19
3
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
26
84
0
01 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
25
96
0
24 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjD
VLM
69
39
0
17 Feb 2021
Few-Shot Learning for Road Object Detection
Few-Shot Learning for Road Object Detection
Anay Majee
Kshitij Agrawal
A. Subramanian
19
21
0
29 Jan 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots
  Matters
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
Mengjie Zhao
Yi Zhu
Ehsan Shareghi
Ivan Vulić
Roi Reichart
Anna Korhonen
Hinrich Schütze
19
64
0
31 Dec 2020
MM-FSOD: Meta and metric integrated few-shot object detection
MM-FSOD: Meta and metric integrated few-shot object detection
Yuewen Li
W. Feng
Shuchang Lyu
Qi Zhao
Xuliang Li
ObjD
12
12
0
30 Dec 2020
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection
Longyao Liu
Bo Ma
Yulin Zhang
Xin Yi
Haozhi Li
ObjD
12
22
0
30 Nov 2020
Class-agnostic Object Detection
Class-agnostic Object Detection
Ayush Jaiswal
Yue Wu
P. Natarajan
Premkumar Natarajan
ObjD
33
31
0
28 Nov 2020
Cooperating RPN's Improve Few-Shot Object Detection
Cooperating RPN's Improve Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
David A. Forsyth
ObjD
30
19
0
19 Nov 2020
A Broad Dataset is All You Need for One-Shot Object Detection
A Broad Dataset is All You Need for One-Shot Object Detection
Claudio Michaelis
Matthias Bethge
Alexander S. Ecker
ObjD
21
2
0
09 Nov 2020
Modeling and Optimization Trade-off in Meta-learning
Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao
Ozan Sener
6
28
0
24 Oct 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
30
28
0
22 Oct 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
18
22
0
18 Aug 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the
  Wild
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
34
314
0
23 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object
  Detection
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
Xianyu Chen
Ming Jiang
Qi Zhao
ObjD
8
12
0
23 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
ObjD
17
282
0
18 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection
Top-Related Meta-Learning Method for Few-Shot Object Detection
Qian Li
Nan Guo
Xiaochun Ye
Duo Wang
Dongrui Fan
Zhimin Tang
ObjD
VLM
14
0
0
14 Jul 2020
Incremental Few-Shot Object Detection for Robotics
Incremental Few-Shot Object Detection for Robotics
Yiting Li
H. Zhu
Sichao Tian
Fan Feng
Jun Ma
C. Teo
Cheng Xiang
P. Vadakkepat
T. Lee
ObjD
CLL
21
11
0
06 May 2020
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
Mateusz Michalkiewicz
Sarah Parisot
Stavros Tsogkas
Mahsa Baktash
Anders P. Eriksson
Eugene Belilovsky
3DV
25
25
0
14 Apr 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
12
57
0
15 Mar 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
24
99
0
06 Jan 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
446
0
28 Sep 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
25
128
0
17 Apr 2019
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