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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
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
20
81
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
34
88
0
09 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
43
18
0
06 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
29
82
0
23 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
19
4
0
12 Nov 2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric
  Learning
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
58
20
0
30 Oct 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
31
15
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
29
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
37
79
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
24
1
0
26 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation
  with Scarce Data
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
H. Cui
Dong Wei
Kai Ma
Shi Gu
Yefeng Zheng
27
39
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
33
4
0
10 Oct 2021
Experience feedback using Representation Learning for Few-Shot Object
  Detection on Aerial Images
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
M. Lebbah
Anissa Zergaïnoh-Mokraoui
Hanene Azzag
ObjD
30
9
0
27 Sep 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
30
197
0
20 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
Xiaogang Xu
ObjD
28
10
0
04 Aug 2021
ODIP: Towards Automatic Adaptation for Object Detection by Interactive
  Perception
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception
Tung-I Chen
Jen-Wei Wang
Winston H. Hsu
VLM
ObjD
21
0
0
03 Aug 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
33
115
0
08 Jun 2021
Generalized Few-Shot Object Detection without Forgetting
Generalized Few-Shot Object Detection without Forgetting
Zhibo Fan
Yuchen Ma
Zeming Li
Jian Sun
VLM
ObjD
37
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
24
14
0
17 May 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
57
110
0
04 May 2021
CAT: Cross-Attention Transformer for One-Shot Object Detection
CAT: Cross-Attention Transformer for One-Shot Object Detection
Weidong Lin
Yuyang Deng
Yang Gao
Ning Wang
Jinghao Zhou
Lingqiao Liu
Lei Zhang
Peng Wang
ViT
27
9
0
30 Apr 2021
Few-Shot Video Object Detection
Few-Shot Video Object Detection
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
34
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
29
163
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
27
154
0
30 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
39
1
0
26 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
45
370
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
104
178
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
46
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
37
96
0
24 Feb 2021
Feature Representation in Deep Metric Embeddings
Feature Representation in Deep Metric Embeddings
Ryan Furlong
Vincent O'Brien
James Garland
D. Palacios-Alonso
F. Domínguez-Mateos
CVBM
9
1
0
05 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
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
20
12
0
30 Dec 2020
Generalized Relation Learning with Semantic Correlation Awareness for
  Link Prediction
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Yao Zhang
Xu Zhang
Jun Wang
Hongru Liang
Wenqiang Lei
Zhe Sun
Adam Jatowt
Zhenglu Yang
12
17
0
22 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
20
22
0
30 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
32
19
0
19 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
17
2
0
19 Nov 2020
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
Mihir Prabhudesai
Shamit Lal
Darshan Patil
H. Tung
Adam W. Harley
Katerina Fragkiadaki
OCL
3DV
3DPC
24
20
0
06 Nov 2020
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
26
62
0
22 Oct 2020
Task-Adaptive Feature Transformer for Few-Shot Segmentation
Task-Adaptive Feature Transformer for Few-Shot Segmentation
Jun Seo
Younghyun Park
Sung Whan Yoon
Jaekyun Moon
ViT
32
5
0
22 Oct 2020
Few-shot Object Detection with Self-adaptive Attention Network for
  Remote Sensing Images
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
Zixuan Xiao
Wei Xue
P. Zhong
33
32
0
26 Sep 2020
A Few-shot Learning Approach for Historical Ciphered Manuscript
  Recognition
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition
Mohamed Ali Souibgui
Alicia Fornés
Yousri Kessentini
Crina Tudor
22
19
0
26 Sep 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
22
47
0
06 Sep 2020
Few-shot Object Detection with Feature Attention Highlight Module in
  Remote Sensing Images
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images
Zixuan Xiao
P. Zhong
Yu Quan
Xuping Yin
Wei Xue
ObjD
12
8
0
03 Sep 2020
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic
  Loss
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
20
16
0
22 Aug 2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision
  for Object Detection
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
C. Biffi
Jingyu Sun
Philip Torr
A. Leonardis
Sarah Parisot
ObjD
20
12
0
21 Aug 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
26
54
0
30 Jul 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
48
315
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
16
12
0
23 Jul 2020
The Devil is in Classification: A Simple Framework for Long-tail Object
  Detection and Instance Segmentation
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation
Tao Wang
Yu Li
Bingyi Kang
Junnan Li
Jun Hao Liew
Sheng Tang
Guosheng Lin
Jiashi Feng
ISeg
19
176
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
28
282
0
18 Jul 2020
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