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. 2110.13892
  4. Cited By
HR-RCNN: Hierarchical Relational Reasoning for Object Detection

HR-RCNN: Hierarchical Relational Reasoning for Object Detection

26 October 2021
Hao Chen
Abhinav Shrivastava
ArXivPDFHTML

Papers citing "HR-RCNN: Hierarchical Relational Reasoning for Object Detection"

23 / 73 papers shown
Title
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
52
329
0
18 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
289
15,066
0
07 Jun 2017
Spatial Memory for Context Reasoning in Object Detection
Spatial Memory for Context Reasoning in Object Detection
Xinlei Chen
Abhinav Gupta
ObjD
34
164
0
13 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
64
1,453
0
05 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
227
27,018
0
20 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
162
5,291
0
17 Mar 2017
DSSD : Deconvolutional Single Shot Detector
DSSD : Deconvolutional Single Shot Detector
Cheng-Yang Fu
Wen Liu
A. Ranga
A. Tyagi
Alexander C. Berg
ObjD
64
1,909
0
23 Jan 2017
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
54
320
0
20 Dec 2016
The More You Know: Using Knowledge Graphs for Image Classification
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
GNN
OCL
59
345
0
14 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
370
21,951
0
09 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
406
1,405
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
344
28,795
0
09 Sep 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
101
2,411
0
12 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
79
5,008
0
22 Mar 2016
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
52
1,206
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
901
192,638
0
10 Dec 2015
Higher Order Conditional Random Fields in Deep Neural Networks
Higher Order Conditional Random Fields in Deep Neural Networks
Anurag Arnab
Sadeep Jayasumana
Shuai Zheng
Philip Torr
SSeg
37
230
0
25 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
331
61,900
0
04 Jun 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
117
2,533
0
11 Feb 2015
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
71
1,594
0
21 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
561
99,991
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
136
43,290
0
01 May 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
56
3,445
0
20 Oct 2012
Previous
12