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. 2108.09017
  4. Cited By
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

20 August 2021
Limeng Qiao
Yuxuan Zhao
Zhiyuan Li
Xi Qiu
Jianan Wu
Chi Zhang
    ObjD
ArXivPDFHTML

Papers citing "DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection"

42 / 92 papers shown
Title
3rd Continual Learning Workshop Challenge on Egocentric Category and
  Instance Level Object Understanding
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Lorenzo Pellegrini
Chenchen Zhu
Fanyi Xiao
Zhicheng Yan
Antonio Carta
Matthias De Lange
Vincenzo Lomonaco
Roshan Sumbaly
Pau Rodríguez López
David Vazquez
CLL
27
6
0
13 Dec 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
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual
  Query Localization
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization
Mengmeng Xu
Yanghao Li
Cheng-Yang Fu
Bernard Ghanem
Tao Xiang
Juan-Manuel Perez-Rua
25
13
0
18 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Jinxiang Lai
Siqian Yang
Wenlong Liu
Yi Zeng
Zhongyi Huang
Wenlong Wu
Jun Liu
Bin-Bin Gao
Chengjie Wang
VLM
18
19
0
02 Nov 2022
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot
  Object Detection
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection
Shan Zhang
Naila Murray
Lei Wang
Piotr Koniusz
ViT
32
16
0
30 Oct 2022
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object Detection
Binyi Su
Hua Zhang
Jingzhi Li
Zhongjun Zhou
48
9
0
28 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object
  Detectors
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
Karim Guirguis
Mohamed Abdelsamad
George Eskandar
Ahmed Hendawy
Matthias Kayser
B. Yang
Jürgen Beyerer
ObjD
27
2
0
11 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao
Xiaojuan Qi
3DPC
45
17
0
11 Oct 2022
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection
Wuti Xiong
60
13
0
11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection
Fast Hierarchical Learning for Few-Shot Object Detection
Yihang She
Goutam Bhat
Martin Danelljan
F. I. F. Richard Yu
ObjD
19
1
0
10 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
  re-training
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
42
30
0
10 Oct 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Lu Zhang
Yang Wang
Jiaogen Zhou
Chenbo Zhang
Yinglu Zhang
Jihong Guan
Yatao Bian
Shuigeng Zhou
29
9
0
08 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
35
9
0
05 Oct 2022
Disentangle and Remerge: Interventional Knowledge Distillation for
  Few-Shot Object Detection from A Conditional Causal Perspective
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Jiangmeng Li
Yanan Zhang
Wenwen Qiang
Lingyu Si
Chengbo Jiao
Xiaohui Hu
Changwen Zheng
Fuchun Sun
CML
34
28
0
26 Aug 2022
Hierarchical Attention Network for Few-Shot Object Detection via
  Meta-Contrastive Learning
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
Dong Huk Park
Jongmin Lee
ObjD
28
11
0
15 Aug 2022
Few-Shot Object Detection by Knowledge Distillation Using
  Bag-of-Visual-Words Representations
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
Wenjie Pei
Shuang Wu
Dianwen Mei
Fanglin Chen
Jiandong Tian
Guangming Lu
VLM
20
11
0
25 Jul 2022
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual
  Impairments
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments
Yu-Yun Tseng
Alexander Bell
Danna Gurari
21
8
0
24 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
VLM
ObjD
39
31
0
22 Jul 2022
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Kibok Lee
Hao Yang
Satyaki Chakraborty
Zhaowei Cai
Gurumurthy Swaminathan
Avinash Ravichandran
O. Dabeer
29
21
0
22 Jul 2022
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual
  Object Detection
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
Feng Liu
Xiaosong Zhang
Zhiliang Peng
Zonghao Guo
Fang Wan
Xian-Wei Ji
QiXiang Ye
ObjD
43
20
0
19 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
25
5
0
06 May 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
26
20
0
16 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
19
15
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
31
1
0
11 Apr 2022
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth
  Boxes
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes
Akhil Meethal
M. Pedersoli
Zhongwen Zhu
Francisco Perdigon Romero
Eric Granger
11
4
0
01 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
26
130
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
ObjD
AAML
18
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
25
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
19
33
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
ViT
ObjD
22
21
0
17 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
32
97
0
15 Mar 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
39
7
0
28 Jan 2022
Few-Shot Object Detection: A Comprehensive Survey
Few-Shot Object Detection: A Comprehensive Survey
Mona Köhler
M. Eisenbach
H. Groß
ObjD
29
59
0
22 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
14
81
0
10 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
Jie Song
Mingli Song
ObjD
33
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
S. Scherer
ViT
15
25
0
03 Dec 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
27
77
0
27 Oct 2021
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
166
198
0
23 Mar 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
95
544
0
16 Mar 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
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
329
11,684
0
09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
Previous
12