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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 / 4,271 papers shown
Title
Deep Supervision with Intermediate Concepts
Deep Supervision with Intermediate Concepts
Chi Li
M. Zia
Quoc-Huy Tran
Xiang Yu
Gregory Hager
Manmohan Chandraker
73
75
0
08 Jan 2018
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale
  Home Surveillance Videos
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
Ruichi Yu
Hongcheng Wang
L. Davis
47
23
0
06 Jan 2018
3D-DETNet: a Single Stage Video-Based Vehicle Detector
3D-DETNet: a Single Stage Video-Based Vehicle Detector
Suichan Li
3DPC
58
21
0
05 Jan 2018
Semantic Segmentation via Highly Fused Convolutional Network with
  Multiple Soft Cost Functions
Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
Tao Yang
Yan Wu
Junqiao Zhao
Linting Guan
SSeg
131
37
0
04 Jan 2018
Deep Spatial Feature Reconstruction for Partial Person
  Re-identification: Alignment-Free Approach
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach
Lingxiao He
Jian Liang
Haiqing Li
Zhenan Sun
129
291
0
03 Jan 2018
Accurate reconstruction of image stimuli from human fMRI based on the
  decoding model with capsule network architecture
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture
Kai Qiao
Chi Zhang
Linyuan Wang
Bin Yan
Jian Chen
Lei Zeng
Li Tong
MedIm
34
21
0
02 Jan 2018
Aggregated Channels Network for Real-Time Pedestrian Detection
Aggregated Channels Network for Real-Time Pedestrian Detection
Farzin Ghorban
Javier Marín
Yu Su
A. Colombo
A. Kummert
ObjD
42
13
0
01 Jan 2018
Learning Deep Similarity Models with Focus Ranking for Fabric Image
  Retrieval
Learning Deep Similarity Models with Focus Ranking for Fabric Image Retrieval
Daiguo Deng
Ruomei Wang
Hefeng Wu
Huayong He
Qi Li
Xiaonan Luo
54
39
0
29 Dec 2017
What do we need to build explainable AI systems for the medical domain?
What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger
Chris Biemann
C. Pattichis
D. Kell
91
694
0
28 Dec 2017
Eventness: Object Detection on Spectrograms for Temporal Localization of
  Audio Events
Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events
Phuong Pham
Juncheng Billy Li
Joseph Szurley
Samarjit Das
35
15
0
27 Dec 2017
Interpretable Counting for Visual Question Answering
Interpretable Counting for Visual Question Answering
Alexander R. Trott
Caiming Xiong
R. Socher
106
71
0
23 Dec 2017
Video Object Detection with an Aligned Spatial-Temporal Memory
Video Object Detection with an Aligned Spatial-Temporal Memory
Fanyi Xiao
Yong Jae Lee
92
189
0
18 Dec 2017
Impression Network for Video Object Detection
Impression Network for Video Object Detection
Congrui Hetang
Hongwei Qin
Shaohui Liu
Junjie Yan
ObjD
55
31
0
16 Dec 2017
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC3DV
80
509
0
14 Dec 2017
MaskLab: Instance Segmentation by Refining Object Detection with
  Semantic and Direction Features
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen
Alexander Hermans
George Papandreou
Florian Schroff
Peng Wang
Hartwig Adam
ISeg
86
349
0
13 Dec 2017
Symbol detection in online handwritten graphics using Faster R-CNN
Symbol detection in online handwritten graphics using Faster R-CNN
Frank D. Julca-Aguilar
N. Hirata
48
25
0
13 Dec 2017
Data Distillation: Towards Omni-Supervised Learning
Data Distillation: Towards Omni-Supervised Learning
Ilija Radosavovic
Piotr Dollár
Ross B. Girshick
Georgia Gkioxari
Kaiming He
92
419
0
12 Dec 2017
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from
  Synthetic Images
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
Mahdi Rad
Markus Oberweger
Vincent Lepetit
3DH
57
132
0
11 Dec 2017
Deep convolutional neural networks for brain image analysis on magnetic
  resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J. Bernal
Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
A. Oliver
Robert Martí
Xavier Llado
87
353
0
11 Dec 2017
Deep Regionlets for Object Detection
Deep Regionlets for Object Detection
Hongyu Xu
Xutao Lv
Xiaoyu Wang
Zhou Ren
Navaneeth Bodla
Rama Chellappa
ObjD
91
66
0
06 Dec 2017
Controllable Top-down Feature Transformer
Controllable Top-down Feature Transformer
Zhiwei Jia
Haoshen Hong
Siyang Wang
Kwonjoon Lee
Zhuowen Tu
ViT
40
2
0
06 Dec 2017
R-FCN-3000 at 30fps: Decoupling Detection and Classification
R-FCN-3000 at 30fps: Decoupling Detection and Classification
Bharat Singh
Hengduo Li
Abhishek Sharma
L. Davis
ObjD
77
95
0
05 Dec 2017
Iterative Deep Learning for Network Topology Extraction
Iterative Deep Learning for Network Topology Extraction
Carles Ventura
Jordi Pont-Tuset
Sergi Caelles
Kevis-Kokitsi Maninis
Luc Van Gool
41
8
0
04 Dec 2017
CNN based Learning using Reflection and Retinex Models for Intrinsic
  Image Decomposition
CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
A. S. Baslamisli
Hoàng-Ân Lê
Theo Gevers
144
66
0
04 Dec 2017
FSSD: Feature Fusion Single Shot Multibox Detector
FSSD: Feature Fusion Single Shot Multibox Detector
Zuoxin Li
Lu Yang
Fuqiang Zhou
ObjD
64
508
0
04 Dec 2017
Deep Sampling Networks
Deep Sampling Networks
Bolun Cai
Xiangmin Xu
K. Guo
Kui Jia
Dacheng Tao
49
0
0
04 Dec 2017
Improving Object Detection from Scratch via Gated Feature Reuse
Improving Object Detection from Scratch via Gated Feature Reuse
Zhiqiang Shen
Humphrey Shi
Jiahui Yu
Shuicheng Yan
Rogerio Feris
Liangliang Cao
Ding Liu
Xinchao Wang
Thomas Huang
Xiangyang Xue
ObjD
78
38
0
04 Dec 2017
A Deep Learning Approach to Drone Monitoring
A Deep Learning Approach to Drone Monitoring
Yueru Chen
Pranav Aggarwal
Jongmoo Choi
C.-C. Jay Kuo
32
57
0
04 Dec 2017
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
271
4,964
0
03 Dec 2017
Feature Agglomeration Networks for Single Stage Face Detection
Feature Agglomeration Networks for Single Stage Face Detection
Jialiang Zhang
Xiongwei Wu
Jianke Zhu
Guosheng Lin
CVBM
83
87
0
03 Dec 2017
Single-Shot Object Detection with Enriched Semantics
Single-Shot Object Detection with Enriched Semantics
Zhishuai Zhang
Siyuan Qiao
Cihang Xie
Wei Shen
Bo Wang
Alan Yuille
ObjD
87
208
0
01 Dec 2017
Rank of Experts: Detection Network Ensemble
Rank of Experts: Detection Network Ensemble
Seung-Hwan Bae
Youngwan Lee
Y. Jo
Yuseok Bae
Joong-won Hwang
ObjD
53
5
0
01 Dec 2017
Label Efficient Learning of Transferable Representations across Domains
  and Tasks
Label Efficient Learning of Transferable Representations across Domains and Tasks
Zelun Luo
Yuliang Zou
Judy Hoffman
Li Fei-Fei
80
277
0
30 Nov 2017
Multi-Channel CNN-based Object Detection for Enhanced Situation
  Awareness
Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness
Shuo Liu
Zheng Liu
ObjD
40
45
0
30 Nov 2017
An End-to-end 3D Convolutional Neural Network for Action Detection and
  Segmentation in Videos
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Rui Hou
Chen Chen
M. Shah
MedIm
67
61
0
30 Nov 2017
Towards High Performance Video Object Detection
Towards High Performance Video Object Detection
Xizhou Zhu
Jifeng Dai
Lu Yuan
Yichen Wei
ObjD
82
245
0
30 Nov 2017
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
150
1,230
0
30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
111
385
0
30 Nov 2017
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds
  Using Local and Global Contextual Cues
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues
Wei Zeng
Theo Gevers
3DPC3DV
73
72
0
30 Nov 2017
Learning to Segment Every Thing
Learning to Segment Every Thing
Ronghang Hu
Piotr Dollár
Kaiming He
Trevor Darrell
Ross B. Girshick
ISegVLM
95
296
0
28 Nov 2017
Learning to cluster in order to transfer across domains and tasks
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
OOD
101
221
0
28 Nov 2017
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks
  for Face Recognition
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
Qiangchang Wang
G. Guo
Mohammad Iqbal Nouyed
CVBM
38
1
0
28 Nov 2017
Learning a Rotation Invariant Detector with Rotatable Bounding Box
Learning a Rotation Invariant Detector with Rotatable Bounding Box
Lei Liu
Zongxu Pan
Bin Lei
ObjD
78
188
0
26 Nov 2017
Gradually Updated Neural Networks for Large-Scale Image Recognition
Gradually Updated Neural Networks for Large-Scale Image Recognition
Siyuan Qiao
Zhishuai Zhang
Wei Shen
Bo Wang
Alan Yuille
84
16
0
25 Nov 2017
Appearance-and-Relation Networks for Video Classification
Appearance-and-Relation Networks for Video Classification
Limin Wang
Wei Li
Wen Li
Luc Van Gool
100
352
0
24 Nov 2017
Feature Selective Networks for Object Detection
Feature Selective Networks for Object Detection
Y. Zhai
Jingjing Fu
Yan Lu
Houqiang Li
ObjD
73
18
0
24 Nov 2017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance
  Segmentation
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang
Ronald Yu
Qiangui Huang
Ulrich Neumann
3DPC
106
554
0
23 Nov 2017
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
237
2,276
0
22 Nov 2017
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky
  Noisy-or Network
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
Fangzhou Liao
Ming Liang
Zhe Li
Xiaolin Hu
Sen Song
MedIm
85
422
0
22 Nov 2017
Hierarchical internal representation of spectral features in deep
  convolutional networks trained for EEG decoding
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding
K. Hartmann
R. Schirrmeister
T. Ball
87
27
0
21 Nov 2017
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