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RepMet: Representative-based metric learning for classification and
  one-shot object detection

RepMet: Representative-based metric learning for classification and one-shot object detection

12 June 2018
Leonid Karlinsky
J. Shtok
Sivan Harary
Eli Schwartz
Mattias Marder
Rogerio Feris
Raja Giryes
A. Bronstein
    VLM
    ObjD
ArXivPDFHTML

Papers citing "RepMet: Representative-based metric learning for classification and one-shot object detection"

50 / 125 papers shown
Title
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Ruoyu Chen
Hua Zhang
Jingzhi Li
Li Liu
Zhen Huang
Xiaochun Cao
39
0
0
09 Apr 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
99
0
0
21 Dec 2024
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
58
5
0
02 Sep 2024
PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot
  Object Detection
PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection
Yingjie Gao
Yanan Zhang
Ziyue Huang
Nanqing Liu
Di Huang
ObjD
48
1
0
11 Aug 2024
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot
  Object Detection
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee
Ryan Sharp
Rishabh K. Iyer
51
1
0
02 Jul 2024
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive
  Deep Metric Learning
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
Hossein Rajoli
Sahand Khoshdel
Fatemeh Afghah
Xiaolong Ma
45
1
0
09 Apr 2024
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
Yu Ming
Zihao Wu
Jie Yang
Danyi Li
Yuan Gao
Changxin Gao
Gui-Song Xia
Yuanqing Li
Li Liang
Jin-Gang Yu
40
0
0
26 Feb 2024
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
34
1
0
27 Dec 2023
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype
  Enhancement
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
Jing Wang
Jinagyun Li
Chen Chen
Yisi Zhang
Haoran Shen
Tianxiang Zhang
VLM
42
12
0
25 Dec 2023
Decoupled DETR For Few-shot Object Detection
Decoupled DETR For Few-shot Object Detection
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
44
1
0
20 Nov 2023
Few-shot Object Detection in Remote Sensing: Lifting the Curse of
  Incompletely Annotated Novel Objects
Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects
Fahong Zhang
Yilei Shi
Zhitong Xiong
Xiaoxiang Zhu
ObjD
23
19
0
19 Sep 2023
Improved Region Proposal Network for Enhanced Few-Shot Object Detection
Improved Region Proposal Network for Enhanced Few-Shot Object Detection
Zeyu Shangguan
Mohammad Rostami
ObjD
34
12
0
15 Aug 2023
Rethinking Intersection Over Union for Small Object Detection in
  Few-Shot Regime
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
24
6
0
17 Jul 2023
Fantastic DNN Classifiers and How to Identify them without Data
Fantastic DNN Classifiers and How to Identify them without Data
Nathaniel R. Dean
D. Sarkar
23
1
0
24 May 2023
Vision-Language Models in Remote Sensing: Current Progress and Future
  Trends
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Xiang Li
Congcong Wen
Yuan Hu
Zhenghang Yuan
Xiao Xiang Zhu
VLM
32
75
0
09 May 2023
Generating Features with Increased Crop-related Diversity for Few-Shot
  Object Detection
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu
Hieu M. Le
Dimitris Samaras
ObjD
30
26
0
11 Apr 2023
Identification of Novel Classes for Improving Few-Shot Object Detection
Identification of Novel Classes for Improving Few-Shot Object Detection
Zeyu Shangguan
Mohammad Rostami
ObjD
40
13
0
18 Mar 2023
Transformation-Invariant Network for Few-Shot Object Detection in Remote
  Sensing Images
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images
Nanqing Liu
Xun Xu
Turgay Celik
Zongxin Gan
Hengchao Li
43
26
0
13 Mar 2023
Multi-Content Interaction Network for Few-Shot Segmentation
Multi-Content Interaction Network for Few-Shot Segmentation
Hao Chen
YunLong Yu
Yonghan Dong
Zhe-Ming Lu
Yingming Li
Zhongfei Zhang
29
3
0
11 Mar 2023
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
Taehyean Choi
Jong-Hwan Kim
ObjD
32
6
0
20 Feb 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
52
17
0
03 Jan 2023
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
39
33
0
27 Nov 2022
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
32
7
0
24 Nov 2022
Informative Sample-Aware Proxy for Deep Metric Learning
Informative Sample-Aware Proxy for Deep Metric Learning
Aoyu Li
Ikuro Sato
Kohta Ishikawa
Rei Kawakami
Rio Yokota
24
1
0
18 Nov 2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for
  Few-shot Segmentation
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation
Kai-Qi Huang
Mingfei Cheng
Yang Wang
Bochen Wang
Ye Xi
Feigege Wang
Peng Chen
33
2
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
45
16
0
30 Oct 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
29
3
0
25 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning
A Unified Framework with Meta-dropout for Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
19
1
0
12 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
35
2
0
11 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
47
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
Jingyao Wang
Hui Xiong
Chengbo Jiao
Xiaohui Hu
Changwen Zheng
Gang Hua
CML
49
28
0
26 Aug 2022
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
48
19
0
25 Jul 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
28
11
0
25 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
Distribution Regularized Self-Supervised Learning for Domain Adaptation
  of Semantic Segmentation
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
Javed Iqbal
H. Rawal
R. Hafiz
Yu-Tseh Chi
Mohsen Ali
27
7
0
20 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
24
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
ISeg
CLL
54
23
0
31 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
27
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
37
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
27
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
37
1
0
11 Apr 2022
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
I. Shugurov
Fu Li
Benjamin Busam
Slobodan Ilic
40
85
0
29 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
23
27
0
27 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
29
21
0
17 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
36
157
0
07 Mar 2022
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot
  Segmentation
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation
Jun Seo
Younghyun Park
Sung Whan Yoon
Jaekyun Moon
ViT
13
5
0
14 Feb 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
46
7
0
28 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
46
2
0
06 Jan 2022
Few-Shot Object Detection: A Comprehensive Survey
Few-Shot Object Detection: A Comprehensive Survey
Mona Köhler
M. Eisenbach
H. Groß
ObjD
37
59
0
22 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
41
103
0
17 Dec 2021
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