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  4. Cited By
YOLO9000: Better, Faster, Stronger

YOLO9000: Better, Faster, Stronger

Computer Vision and Pattern Recognition (CVPR), 2016
25 December 2016
Joseph Redmon
Ali Farhadi
    VLMObjD
ArXiv (abs)PDFHTML

Papers citing "YOLO9000: Better, Faster, Stronger"

50 / 2,574 papers shown
Title
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
139
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
125
22
0
05 Jan 2018
Spot the Difference by Object Detection
Spot the Difference by Object Detection
Junhui Wu
Yun Ye
Yu Chen
Zhi-Zhong Weng
ObjD
58
6
0
03 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Lin Wang
AAML
433
1,978
0
02 Jan 2018
Learning More Universal Representations for Transfer-Learning
Learning More Universal Representations for Transfer-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
Abdalgader Abubaker
M. Tamaazousti
OODSSL
192
60
0
27 Dec 2017
Building Robust Deep Neural Networks for Road Sign Detection
Building Robust Deep Neural Networks for Road Sign Detection
Arkar Min Aung
Yousef Fadila
R. Gondokaryono
Luis Gonzalez
AAML
98
19
0
26 Dec 2017
Note on Attacking Object Detectors with Adversarial Stickers
Note on Attacking Object Detectors with Adversarial Stickers
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Basel Alomair
Tadayoshi Kohno
Amir Rahmati
A. Prakash
Florian Tramèr
AAML
169
36
0
21 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
505
1,728
0
19 Dec 2017
Automated flow for compressing convolution neural networks for efficient
  edge-computation with FPGA
Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA
F. Shafiq
Takato Yamada
Antonio T. Vilchez
Sakyasingha Dasgupta
MQ
92
3
0
18 Dec 2017
NSML: A Machine Learning Platform That Enables You to Focus on Your
  Models
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Nako Sung
Minkyu Kim
Hyunwoo Jo
Youngil Yang
Jingwoong Kim
...
Youngkwan Kim
Gayoung Lee
Donghyun Kwak
Jung-Woo Ha
Sunghun Kim
149
88
0
16 Dec 2017
Benchmarking Single Image Dehazing and Beyond
Benchmarking Single Image Dehazing and Beyond
Boyi Li
Wenqi Ren
Dengpan Fu
Dacheng Tao
Dan Feng
Wenjun Zeng
Zinan Lin
VLM
321
1,892
0
12 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie
R. Ichise
OffRL
80
16
0
12 Dec 2017
Using a single RGB frame for real time 3D hand pose estimation in the
  wild
Using a single RGB frame for real time 3D hand pose estimation in the wild
Paschalis Panteleris
Iason Oikonomidis
Antonis Argyros
3DH
270
217
0
11 Dec 2017
Weaving Multi-scale Context for Single Shot Detector
Weaving Multi-scale Context for Single Shot Detector
Yunpeng Chen
Jianshu Li
Bin Zhou
Jiashi Feng
Shuicheng Yan
ObjD
123
15
0
08 Dec 2017
Adversarial Examples that Fool Detectors
Adversarial Examples that Fool Detectors
Jiajun Lu
Hussein Sibai
Evan Fabry
AAML
128
155
0
07 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
223
66
0
06 Dec 2017
Joint 3D Proposal Generation and Object Detection from View Aggregation
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven Waslander
3DPC
364
1,518
0
06 Dec 2017
Grounding Referring Expressions in Images by Variational Context
Grounding Referring Expressions in Images by Variational Context
Hanwang Zhang
Yulei Niu
Shih-Fu Chang
BDLObjD
192
236
0
05 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
164
97
0
05 Dec 2017
3D Semantic Trajectory Reconstruction from 3D Pixel Continuum
3D Semantic Trajectory Reconstruction from 3D Pixel Continuum
Jae Shin Yoon
Ziwei Li
H. Park
108
10
0
04 Dec 2017
Towards Faster Training of Global Covariance Pooling Networks by
  Iterative Matrix Square Root Normalization
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
P. Li
Jiangtao Xie
Qilong Wang
Zilin Gao
126
285
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
189
552
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
152
37
0
04 Dec 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
116
66
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
157
252
0
30 Nov 2017
Spatially-Adaptive Filter Units for Deep Neural Networks
Spatially-Adaptive Filter Units for Deep Neural Networks
Domen Tabernik
Matej Kristan
A. Leonardis
125
11
0
30 Nov 2017
Highrisk Prediction from Electronic Medical Records via Deep Attention
  Networks
Highrisk Prediction from Electronic Medical Records via Deep Attention Networks
You Jin Kim
Yun-Geun Lee
Jeong-Whun Kim
Jin Joo Park
Borim Ryu
Jung-Woo Ha
108
21
0
30 Nov 2017
ARbis Pictus: A Study of Language Learning with Augmented Reality
ARbis Pictus: A Study of Language Learning with Augmented Reality
Adam Ibrahim
Brandon Huynh
J. Downey
Tobias Höllerer
Dorothy M. Chun
J. O'Donovan
72
97
0
30 Nov 2017
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
353
2,551
0
28 Nov 2017
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with
  Adversarial Networks
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks
Mengwei Ren
Liang Niu
Yi Fang
GAN3DPC
88
32
0
28 Nov 2017
Scalable Object Detection for Stylized Objects
Scalable Object Detection for Stylized Objects
Aayush Garg
T. Will
William M. Darling
Willi Richert
Clemens Marschner
ObjD
92
4
0
27 Nov 2017
Real-Time Seamless Single Shot 6D Object Pose Prediction
Real-Time Seamless Single Shot 6D Object Pose Prediction
Bugra Tekin
Sudipta N. Sinha
Pascal Fua
286
850
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
252
587
0
23 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
189
439
0
22 Nov 2017
Receptive Field Block Net for Accurate and Fast Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
265
1,432
0
21 Nov 2017
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian Sun
ObjD
173
385
0
20 Nov 2017
MegDet: A Large Mini-Batch Object Detector
MegDet: A Large Mini-Batch Object Detector
Chao Peng
Tete Xiao
Zeming Li
Yuning Jiang
Xiangyu Zhang
Kai Jia
Gang Yu
Jian Sun
ObjD
371
323
0
20 Nov 2017
Tracking in Aerial Hyperspectral Videos using Deep Kernelized
  Correlation Filters
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters
Burak Uzkent
Aneesh Rangnekar
Matthew J. Hoffman
184
129
0
20 Nov 2017
Single-Shot Refinement Neural Network for Object Detection
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
208
1,343
0
18 Nov 2017
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep
  Object Detection
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection
Zining Wang
Wei Zhan
Masayoshi Tomizuka
3DPC
172
27
0
17 Nov 2017
Neural Motifs: Scene Graph Parsing with Global Context
Neural Motifs: Scene Graph Parsing with Global Context
Rowan Zellers
Mark Yatskar
Sam Thomson
Yejin Choi
GNN
268
1,081
0
17 Nov 2017
Predicting Driver Attention in Critical Situations
Predicting Driver Attention in Critical Situations
Ye Xia
Danqing Zhang
Jinkyu Kim
K. Nakayama
K. Zipser
D. Whitney
203
156
0
17 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
343
4,201
0
17 Nov 2017
Priming Neural Networks
Priming Neural Networks
Amir Rosenfeld
Mahdi Biparva
John K. Tsotsos
ObjD
226
10
0
16 Nov 2017
C-WSL: Count-guided Weakly Supervised Localization
C-WSL: Count-guided Weakly Supervised Localization
M. Gao
Ang Li
Ruichi Yu
Vlad I. Morariu
L. Davis
WSOL
172
99
0
14 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
186
136
0
14 Nov 2017
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants
Eduardo Aguilar
Beatriz Remeseiro
Marc Bolaños
Petia Radeva
153
118
0
14 Nov 2017
Crowd counting via scale-adaptive convolutional neural network
Crowd counting via scale-adaptive convolutional neural network
Jun Liu
Miaojing Shi
Qiaobo Chen
221
258
0
13 Nov 2017
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object
  Detection for Correcting Scale Drift
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift
Edgar Sucar
J. Hayet
97
37
0
07 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
414
1,558
0
07 Nov 2017
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