ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.06957
  4. Cited By
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
Feng Yu
    ObjD
ArXiv (abs)PDFHTMLGithub (1153★)

Papers citing "Frustratingly Simple Few-Shot Object Detection"

50 / 254 papers shown
Title
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Zhijie Wang
Masanori Suganuma
Takayuki Okatani
OOD
70
3
0
30 Jun 2022
GLIPv2: Unifying Localization and Vision-Language Understanding
GLIPv2: Unifying Localization and Vision-Language Understanding
Haotian Zhang
Pengchuan Zhang
Xiaowei Hu
Yen-Chun Chen
Liunian Harold Li
Xiyang Dai
Lijuan Wang
Lu Yuan
Lei Li
Jianfeng Gao
ObjDVLM
97
302
0
12 Jun 2022
Automatic Bounding Box Annotation with Small Training Data Sets for
  Industrial Manufacturing
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing
Manuela Geiß
R. Wagner
Martin Baresch
Josef Steiner
Michaela Zwick
ObjD
89
7
0
01 Jun 2022
iFS-RCNN: An Incremental Few-shot Instance Segmenter
iFS-RCNN: An Incremental Few-shot Instance Segmenter
Khoi Duc Minh Nguyen
S. Todorovic
ISegCLL
96
23
0
31 May 2022
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Yuzhong Chen
Zhe Xiao
Lin Zhao
Lu Zhang
Haixing Dai
...
Tuo Zhang
Changying Li
Dajiang Zhu
Tianming Liu
Xi Jiang
112
18
0
20 May 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
128
385
0
13 May 2022
Incremental-DETR: Incremental Few-Shot Object Detection via
  Self-Supervised Learning
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning
Na Dong
Yongqiang Zhang
Mingli Ding
G. Lee
CLL
89
29
0
09 May 2022
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
Yuhang Cao
Jiaqi Wang
Yiqi Lin
Dahua Lin
ObjD
85
5
0
06 May 2022
Few-Shot Object Detection with Proposal Balance Refinement
Few-Shot Object Detection with Proposal Balance Refinement
Sueyeon Kim
Woo-Jeoung Nam
Seong-Whan Lee
ObjD
76
3
0
22 Apr 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented
  Visual Models
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li
Haotian Liu
Liunian Harold Li
Pengchuan Zhang
J. Aneja
...
Ping Jin
Houdong Hu
Zicheng Liu
Yong Jae Lee
Jianfeng Gao
86
152
0
19 Apr 2022
Anomaly Detection in Autonomous Driving: A Survey
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Maximilian Nitsche
J. Marius Zöllner
73
122
0
17 Apr 2022
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based
  Cross-Modal Prompting
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting
G. Han
Long Chen
Jiawei Ma
Shiyuan Huang
Ramalingam Chellappa
Shih-Fu Chang
VLM
112
21
0
16 Apr 2022
Towards Open-Set Object Detection and Discovery
Towards Open-Set Object Detection and Discovery
Jiyang Zheng
Weihao Li
Jie Hong
L. Petersson
Nick Barnes
ObjD
96
67
0
12 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
56
16
0
11 Apr 2022
Few-Shot Object Detection in Unseen Domains
Few-Shot Object Detection in Unseen Domains
Karim Guirguis
George Eskandar
Matthias Kayser
Bin Yang
Jürgen Beyerer
91
1
0
11 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang
Minsu Cho
VLM
99
61
0
29 Mar 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
119
135
0
28 Mar 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Expanding Low-Density Latent Regions for Open-Set Object Detection
Jiaming Han
Yuqiang Ren
Jian Ding
Xingjia Pan
Ke Yan
Guisong Xia
ObjD
106
63
0
28 Mar 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance
  Comparison
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
Tianying Liu
Lu Zhang
Yang Wang
Jihong Guan
Yanwei Fu
Jiajia Zhao
Shuigeng Zhou
ObjDAAML
82
27
0
27 Mar 2022
Sylph: A Hypernetwork Framework for Incremental Few-shot Object
  Detection
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
Li Yin
Juan-Manuel Perez-Rua
Kevin J. Liang
ObjD
77
35
0
25 Mar 2022
Efficient Few-Shot Object Detection via Knowledge Inheritance
Efficient Few-Shot Object Detection via Knowledge Inheritance
Ze Yang
Chi Zhang
Ruibo Li
Yi Tian Xu
Guosheng Lin
VLM
103
34
0
23 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
ViTObjD
75
21
0
17 Mar 2022
UnseenNet: Fast Training Detector for Any Unseen Concept
UnseenNet: Fast Training Detector for Any Unseen Concept
Asra Aslam
Edward W. J. Curry
ObjD
46
0
0
16 Mar 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in
  Autonomous Driving
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li
Kai Chen
Haoyu Wang
Lanqing Hong
Chao Ye
...
Chunjing Xu
Dit-Yan Yeung
Xiaodan Liang
Zhenguo Li
Hang Xu
95
103
0
15 Mar 2022
Learning Transferable Reward for Query Object Localization with Policy
  Adaptation
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
51
1
0
24 Feb 2022
Learning with Free Object Segments for Long-Tailed Instance Segmentation
Learning with Free Object Segments for Long-Tailed Instance Segmentation
Cheng Zhang
Tai-Yu Pan
Tianle Chen
Shitian Zhao
Wen-juan Fu
Wei-Lun Chao
VLM
98
12
0
22 Feb 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
95
8
0
28 Jan 2022
OSSID: Online Self-Supervised Instance Detection by (and for) Pose
  Estimation
OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation
Qiao Gu
Brian Okorn
David Held
71
9
0
18 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
75
2
0
06 Jan 2022
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
38
1
0
23 Dec 2021
Few-Shot Object Detection: A Comprehensive Survey
Few-Shot Object Detection: A Comprehensive Survey
Mona Köhler
M. Eisenbach
H. Groß
ObjD
94
67
0
22 Dec 2021
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning
Josh Myers-Dean
Yinan Zhao
Brian L. Price
Scott D. Cohen
Danna Gurari
CLL
90
13
0
21 Dec 2021
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
137
104
0
17 Dec 2021
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Changsheng Lu
Piotr Koniusz
100
39
0
12 Dec 2021
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Prannay Kaul
Weidi Xie
Andrew Zisserman
ObjD
78
83
0
10 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
Fahad Shahbaz Khan
Guohao Li
ViT
83
92
0
09 Dec 2021
Grounded Language-Image Pre-training
Grounded Language-Image Pre-training
Liunian Harold Li
Pengchuan Zhang
Haotian Zhang
Jianwei Yang
Chunyuan Li
...
Lu Yuan
Lei Zhang
Lei Li
Kai-Wei Chang
Jianfeng Gao
ObjDVLM
157
1,070
0
07 Dec 2021
A Survey of Deep Learning for Low-Shot Object Detection
A Survey of Deep Learning for Low-Shot Object Detection
Qihan Huang
Haofei Zhang
Mengqi Xue
Mingli Song
Xiuming Zhang
ObjD
117
18
0
06 Dec 2021
AirDet: Few-Shot Detection without Fine-tuning for Autonomous
  Exploration
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Bowen Li
Chen Wang
Pranay Reddy
Seungchan Kim
Sebastian Scherer
ViT
57
26
0
03 Dec 2021
OW-DETR: Open-world Detection Transformer
OW-DETR: Open-world Detection Transformer
Akshita Gupta
Sanath Narayan
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
M. Shah
ViT
94
174
0
02 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
82
84
0
23 Nov 2021
Class-agnostic Object Detection with Multi-modal Transformer
Class-agnostic Object Detection with Multi-modal Transformer
Muhammad Maaz
H. Rasheed
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
Ming-Hsuan Yang
141
97
0
22 Nov 2021
Attention Guided Cosine Margin For Overcoming Class-Imbalance in
  Few-Shot Road Object Detection
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection
Ashutosh Agarwal
Anay Majee
A. Subramanian
Chetan Arora
32
4
0
12 Nov 2021
Learned Image Compression for Machine Perception
Learned Image Compression for Machine Perception
Felipe Codevilla
Jean-Gabriel Simard
Ross Goroshin
C. Pal
52
21
0
03 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
94
16
0
30 Oct 2021
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot
  Road Object Detection
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection
Anay Majee
A. Subramanian
Kshitij Agrawal
107
3
0
28 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
109
80
0
27 Oct 2021
Instant Response Few-shot Object Detection with Meta Strategy and
  Explicit Localization Inference
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Junying Huang
Fan Chen
Sibo Huang
Dongyu Zhang
ObjD
93
1
0
26 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
97
37
0
18 Oct 2021
Morphable Detector for Object Detection on Demand
Morphable Detector for Object Detection on Demand
Xiangyun Zhao
Xu Zou
Ying Nian Wu
ObjD
105
4
0
10 Oct 2021
Previous
123456
Next