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. 2003.06798
  4. Cited By
StarNet: towards Weakly Supervised Few-Shot Object Detection

StarNet: towards Weakly Supervised Few-Shot Object Detection

15 March 2020
Leonid Karlinsky
J. Shtok
Amit Alfassy
M. Lichtenstein
Sivan Harary
Eli Schwartz
Sivan Doveh
P. Sattigeri
Rogerio Feris
A. Bronstein
Raja Giryes
ArXivPDFHTML

Papers citing "StarNet: towards Weakly Supervised Few-Shot Object Detection"

12 / 12 papers shown
Title
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
236
637
0
17 Oct 2019
Deep Hough Voting for 3D Object Detection in Point Clouds
Deep Hough Voting for 3D Object Detection in Point Clouds
C. Qi
Or Litany
Kaiming He
Leonidas Guibas
3DPC
68
1,275
0
21 Apr 2019
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
45
142
0
09 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
23
196
0
27 Mar 2019
Dense Classification and Implanting for Few-Shot Learning
Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
Andrei Bursuc
VLM
29
197
0
12 Mar 2019
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
236
353
0
12 Jun 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
64
924
0
21 May 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
172
4,035
0
16 Nov 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
54
1,114
0
31 Jul 2017
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
737
11,793
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
253
7,286
0
13 Jun 2016
Deformable Part Models are Convolutional Neural Networks
Deformable Part Models are Convolutional Neural Networks
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
50
455
0
18 Sep 2014
1