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RepMet: Representative-based metric learning for classification and
  one-shot object detection
v1v2v3 (latest)

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
    VLMObjD
ArXiv (abs)PDFHTML

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

25 / 125 papers shown
Title
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
169
14
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 SegmentationEuropean Conference on Computer Vision (ECCV), 2020
Tao Wang
Yu Li
Bingyi Kang
Junnan Li
Jun Hao Liew
Sheng Tang
Guosheng Lin
Jiashi Feng
ISeg
331
201
0
23 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Multi-Scale Positive Sample Refinement for Few-Shot Object DetectionEuropean Conference on Computer Vision (ECCV), 2020
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
ObjD
254
331
0
18 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta LearningIEEE Conference on High Performance Extreme Computing (HPEC), 2020
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
175
3
0
17 Jul 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Lu Liu
Wanrong Zhu
Guodong Long
Jing Jiang
Chengqi Zhang
128
31
0
28 Jun 2020
Few-shot Object Detection on Remote Sensing Images
Few-shot Object Detection on Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
J. Deng
Xiang Li
Yi Fang
ObjD
173
165
0
14 Jun 2020
Interpretable Time-series Classification on Few-shot Samples
Interpretable Time-series Classification on Few-shot SamplesIEEE International Joint Conference on Neural Network (IJCNN), 2020
Wensi Tang
Lu Liu
Guodong Long
AI4TS
211
23
0
03 Jun 2020
One-Shot Object Detection without Fine-Tuning
One-Shot Object Detection without Fine-Tuning
Xiang Li
Lin Zhang
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
ObjDVLM
117
30
0
08 May 2020
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
Rami Ben-Ari
Mor Shpigel
Ophir Azulai
Udi Barzelay
Daniel Rotman
ViT
186
27
0
21 Apr 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
FGN: Fully Guided Network for Few-Shot Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Zhibo Fan
Jin-Gang Yu
Zhihao Liang
Jiarong Ou
Changxin Gao
Guisong Xia
Yuanqing Li
165
76
0
31 Mar 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo
Shuo Wang
Chengliang Dai
Rui Zhou
Z. Teng
Wenjia Bai
Wenhan Luo
108
0
0
19 Mar 2020
CAFENet: Class-Agnostic Few-Shot Edge Detection Network
CAFENet: Class-Agnostic Few-Shot Edge Detection NetworkBritish Machine Vision Conference (BMVC), 2020
Younghyun Park
Jun Seo
Jaekyun Moon
90
1
0
18 Mar 2020
Any-Shot Object Detection
Any-Shot Object DetectionAsian Conference on Computer Vision (ACCV), 2020
Shafin Rahman
Salman Khan
Nick Barnes
Fahad Shahbaz Khan
ObjDVLM
217
18
0
16 Mar 2020
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
OS2D: One-Stage One-Shot Object Detection by Matching Anchor FeaturesEuropean Conference on Computer Vision (ECCV), 2020
A. Osokin
Denis Sumin
V. Lomakin
ObjD
388
63
0
15 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection
StarNet: towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky
J. Shtok
Amit Alfassy
M. Lichtenstein
Sivan Harary
...
Sivan Doveh
P. Sattigeri
Rogerio Feris
A. Bronstein
Raja Giryes
236
6
0
15 Mar 2020
Incremental Few-Shot Object Detection
Incremental Few-Shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2020
Juan-Manuel Perez-Rua
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
ObjDCLL
140
250
0
10 Mar 2020
Introduction to deep learning
Introduction to deep learning
Lihi Shiloh-Perl
Raja Giryes
131
0
0
29 Feb 2020
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small
  Dataset
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset
S. H. Shabbeer Basha
Sravan Kumar Vinakota
S. Dubey
Viswanath Pulabaigari
Snehasis Mukherjee
132
5
0
22 Jan 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual BiasComputer Vision and Pattern Recognition (CVPR), 2020
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
199
113
0
09 Jan 2020
One-Shot Object Detection with Co-Attention and Co-Excitation
One-Shot Object Detection with Co-Attention and Co-ExcitationNeural Information Processing Systems (NeurIPS), 2019
Ting-I Hsieh
Yi-Chen Lo
Hwann-Tzong Chen
Tyng-Luh Liu
ObjD
206
186
0
28 Nov 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLMObjD
254
884
0
10 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation DetectorComputer Vision and Pattern Recognition (CVPR), 2019
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
299
598
0
06 Aug 2019
Central Similarity Quantization for Efficient Image and Video Retrieval
Central Similarity Quantization for Efficient Image and Video RetrievalComputer Vision and Pattern Recognition (CVPR), 2019
Li-xin Yuan
Tao Wang
Xiaopeng Zhang
Francis E. H. Tay
Zequn Jie
Wei Liu
Jiashi Feng
238
340
0
01 Aug 2019
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics
Fully Convolutional One-Shot Object Segmentation for Industrial RoboticsAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Benjamin Schnieders
Shan Luo
Gregory Palmer
K. Tuyls
123
14
0
02 Mar 2019
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps
  Detection in the Limited Data Scenario
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario
Yixiong Liang
Zhihong Tang
Meng Yan
Jialin Chen
Qing Liu
Yao Xiang
300
14
0
14 Oct 2018
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