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Rich feature hierarchies for accurate object detection and semantic
  segmentation
v1v2v3v4v5 (latest)

Rich feature hierarchies for accurate object detection and semantic segmentation

11 November 2013
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Rich feature hierarchies for accurate object detection and semantic segmentation"

50 / 4,276 papers shown
Title
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
390
995
0
13 Dec 2020
Robust Real-Time Pedestrian Detection on Embedded Devices
Robust Real-Time Pedestrian Detection on Embedded Devices
Mohamed Afifi
Yara Ali
K. Amer
M. Shaker
Mohamed ElHelw
ObjD
37
5
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
99
123
0
12 Dec 2020
DETR for Crowd Pedestrian Detection
DETR for Crowd Pedestrian Detection
Matthieu Lin
Chuming Li
Xingyuan Bu
Ming Sun
Chen Lin
Junjie Yan
Wanli Ouyang
Zhidong Deng
ViT
77
11
0
12 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
229
120
0
10 Dec 2020
Enhancing Human Pose Estimation in Ancient Vase Paintings via
  Perceptually-grounded Style Transfer Learning
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning
Prathmesh Madhu
Angel Villar-Corrales
Ronak Kosti
Torsten Bendschus
Corinna Reinhardt
Peter Bell
Andreas Maier
Vincent Christlein
3DH
64
21
0
10 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
316
267
0
09 Dec 2020
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging
  Studies
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Jinzheng Cai
Youbao Tang
K. Yan
Adam P. Harrison
Jing Xiao
Gigin Lin
Le Lu
MedIm
97
31
0
09 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
101
80
0
08 Dec 2020
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object
  Detection
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
He Wang
Yezhen Cong
Or Litany
Yue Gao
Leonidas Guibas
3DPC
100
123
0
08 Dec 2020
Learning Independent Instance Maps for Crowd Localization
Learning Independent Instance Maps for Crowd Localization
Junyu Gao
Tao Han
Qi. Wang
Yuan. Yuan
Xuelong Li
103
43
0
08 Dec 2020
Computer Stereo Vision for Autonomous Driving
Computer Stereo Vision for Autonomous Driving
Rui Fan
Li Wang
M. J. Bocus
Ioannis Pitas
3DV
98
33
0
06 Dec 2020
MyFood: A Food Segmentation and Classification System to Aid Nutritional
  Monitoring
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
Charles N. C. Freitas
F. Cordeiro
V. Macário
42
39
0
05 Dec 2020
WeaQA: Weak Supervision via Captions for Visual Question Answering
WeaQA: Weak Supervision via Captions for Visual Question Answering
Pratyay Banerjee
Tejas Gokhale
Yezhou Yang
Chitta Baral
110
36
0
04 Dec 2020
Dual Refinement Feature Pyramid Networks for Object Detection
Dual Refinement Feature Pyramid Networks for Object Detection
Jialiang Ma
Bin Chen
ObjD
71
27
0
03 Dec 2020
Dynamic Feature Pyramid Networks for Object Detection
Dynamic Feature Pyramid Networks for Object Detection
Mingjian Zhu
Kai Han
Changbin (Brad) Yu
Yunhe Wang
ObjD
49
22
0
01 Dec 2020
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in
  Object Detection
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection
A. Shepley
Greg Falzon
P. Kwan
82
28
0
01 Dec 2020
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent
  Unsupervised Learning Using Mutual Information Maximization
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization
Hanchen Xie
Mohamed E. Hussein
Aram Galstyan
Wael Abd-Almageed
SSL
59
8
0
30 Nov 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
44
23
0
30 Nov 2020
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Seira Hidano
Takao Murakami
Yusuke Kawamoto
MIACV
88
14
0
30 Nov 2020
Monocular 3D Object Detection with Sequential Feature Association and
  Depth Hint Augmentation
Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation
Tianze Gao
Huihui Pan
Huijun Gao
3DPC
87
36
0
30 Nov 2020
Applied Machine Learning for Games: A Graduate School Course
Applied Machine Learning for Games: A Graduate School Course
Yilei Zeng
Aayush Shah
Jameson Thai
M. Zyda
AI4CE
67
3
0
30 Nov 2020
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural
  Networks
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
Pengtao Xu
Jian Cao
Fanhua Shang
Wenyu Sun
Pu Li
3DPC
30
26
0
29 Nov 2020
A Boundary Regression Model for Nested Named Entity Recognition
A Boundary Regression Model for Nested Named Entity Recognition
Yanping Chen
Lefei Wu
Q. Zheng
Ruizhang Huang
Jing Liu
Liyuan Deng
Junhui Yu
Yongbin Qing
B. Dong
Ping Chen
67
18
0
29 Nov 2020
Lattice Fusion Networks for Image Denoising
Lattice Fusion Networks for Image Denoising
Seyedroohollah Hosseini
29
0
0
28 Nov 2020
Movement Tracks for the Automatic Detection of Fish Behavior in Videos
Movement Tracks for the Automatic Detection of Fish Behavior in Videos
Declan McIntosh
T. Marques
A. Albu
R. Rountree
F. D. Leo
41
12
0
28 Nov 2020
TinaFace: Strong but Simple Baseline for Face Detection
TinaFace: Strong but Simple Baseline for Face Detection
Yanjia Zhu
Hongxiang Cai
Shuhan Zhang
Chenhao Wang
Yichao Xiong
CVBM
132
86
0
26 Nov 2020
Better Knowledge Retention through Metric Learning
Better Knowledge Retention through Metric Learning
Ke Li
Shichong Peng
Kailas Vodrahalli
Jitendra Malik
CLL
34
0
0
26 Nov 2020
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
Federico Ceola
Elisa Maiettini
Giulia Pasquale
Lorenzo Rosasco
Lorenzo Natale
OCL
40
9
0
25 Nov 2020
Fast Region Proposal Learning for Object Detection for Robotics
Fast Region Proposal Learning for Object Detection for Robotics
Federico Ceola
Elisa Maiettini
Giulia Pasquale
Lorenzo Rosasco
Lorenzo Natale
ObjD
47
7
0
25 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
116
124
0
25 Nov 2020
An Analysis of Deep Object Detectors For Diver Detection
An Analysis of Deep Object Detectors For Diver Detection
Karin de Langis
Michael Fulton
Junaed Sattar
ObjD
68
10
0
25 Nov 2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Pei Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
...
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
Ping Luo
ObjD
109
1,107
0
25 Nov 2020
Towards Imperceptible Universal Attacks on Texture Recognition
Towards Imperceptible Universal Attacks on Texture Recognition
Yingpeng Deng
Lina Karam
AAML
43
1
0
24 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
81
170
0
23 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation
Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen
Huiyu Wang
Siyuan Qiao
SSeg
134
49
0
23 Nov 2020
High Fidelity Interactive Video Segmentation Using Tensor Decomposition
  Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
A. Rhodes
Manan Goel
VOS
38
2
0
23 Nov 2020
Structure-Aware Completion of Photogrammetric Meshes in Urban Road
  Environment
Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
Qing Zhu
Qisen Shang
Han Hu
Haojia Yu
Ruofei Zhong
3DV
14
14
0
23 Nov 2020
Rethinking Transformer-based Set Prediction for Object Detection
Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun
Shengcao Cao
Yiming Yang
Kris Kitani
ViT
136
326
0
21 Nov 2020
Boundary-sensitive Pre-training for Temporal Localization in Videos
Boundary-sensitive Pre-training for Temporal Localization in Videos
Mengmeng Xu
Juan-Manuel Perez-Rua
Victor Escorcia
Brais Martínez
Xiatian Zhu
Li Zhang
Guohao Li
Tao Xiang
80
61
0
21 Nov 2020
Self-Supervised Small Soccer Player Detection and Tracking
Self-Supervised Small Soccer Player Detection and Tracking
Samuel Hurault
C. Ballester
G. Haro
75
37
0
20 Nov 2020
Joint Representation of Temporal Image Sequences and Object Motion for
  Video Object Detection
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
Junho Koh
Jaekyum Kim
Younji Shin
Byeongwon Lee
Seungji Yang
J. Choi
51
2
0
20 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
94
20
0
19 Nov 2020
Learning to Predict the 3D Layout of a Scene
Learning to Predict the 3D Layout of a Scene
J. Lin
Jakob Brünker
Daniel Fährmann
3DV3DPC
20
0
0
19 Nov 2020
End-to-End Object Detection with Adaptive Clustering Transformer
End-to-End Object Detection with Adaptive Clustering Transformer
Minghang Zheng
Peng Gao
Renrui Zhang
Kunchang Li
Xiaogang Wang
Hongsheng Li
Hao Dong
ViT
198
199
0
18 Nov 2020
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
Yanwei Pang
Jiale Cao
Yazhao Li
Jin Xie
Hanqing Sun
Jinfeng Gong
ObjD
81
66
0
18 Nov 2020
MGIC: Multigrid-in-Channels Neural Network Architectures
MGIC: Multigrid-in-Channels Neural Network Architectures
Moshe Eliasof
Jonathan Ephrath
Lars Ruthotto
Eran Treister
109
8
0
17 Nov 2020
Digging Deeper into CRNN Model in Chinese Text Images Recognition
Digging Deeper into CRNN Model in Chinese Text Images Recognition
Kunhong Yu
Yuze Zhang
36
2
0
17 Nov 2020
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
120
1,158
0
16 Nov 2020
DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object
  Detection
DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection
Zekun Li
Yufan Liu
Bing Li
Weiming Hu
ObjD
35
5
0
16 Nov 2020
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