YOLOv2 Explained | Papers With Code

YOLOv2

Introduced by Redmon et al. in YOLO9000: Better, Faster, Stronger

YOLOv2, or YOLO9000, is a single-stage real-time object detection model. It improves upon YOLOv1 in several ways, including the use of Darknet-19 as a backbone, batch normalization, use of a high-resolution classifier, and the use of anchor boxes to predict bounding boxes, and more.

Source: YOLO9000: Better, Faster, Stronger

Paper Code Snippet

Latest Papers

PAPER	DATE
RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection Mayuresh Savargaonkar • Abdallah Chehade • Samir Rawashdeh	2021-02-09
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums \| Scott H. Hawley • Andrew C. Morrison	2021-02-01
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory • Tzvika Shapira • Asaf Shabtai • Yuval Elovici	2020-10-25
Multilanguage Number Plate Detection using Convolutional Neural Networks Jatin Gupta • Vandana Saini • Kamaldeep Garg	2020-08-18
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks Kai Zhao • Sheng Di • Sihuan Li • Xin Liang • Yujia Zhai • Jieyang Chen • Kaiming Ouyang • Franck Cappello • Zizhong Chen	2020-03-27
ParkingSticker: A Real-World Object Detection Dataset Caroline Potts • Ethem F. Can • Aysu Ezen-Can • Xiangqian Hu	2020-01-31
RSnet: An improvement for Darknet Shengquan Wang • Ang Li • Jiying Chen • Baoyu Zheng • Jiaxin Ji • Li Xianglong	2020-01-16
Comparison of object detection methods for crop damage assessment using deep learning Ali HamidiSepehr • Seyed Vahid Mirnezami • Jason K. Ward	2019-12-31
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data Shibo Zhou • Ying Chen • Xiaohua Li • Arindam Sanyal	2019-12-17
PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones Gang Chen • Shengyu He • Haitao Meng • Kai Huang	2019-12-05
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision Hongxing Gao • Wei Tao • Dongchao Wen • Tse-Wei Chen • Kinya Osa • Masami Kato	2019-11-19
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses Hamed Majidifard • Peng Jin • Yaw Adu-Gyamfi • William G. Buttlar	2019-10-20
Adversarial T-shirt! Evading Person Detectors in A Physical World Kaidi Xu • Gaoyuan Zhang • Sijia Liu • Quanfu Fan • Mengshu Sun • Hongge Chen • Pin-Yu Chen • Yanzhi Wang • Xue Lin	2019-10-18
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection \| Alexander Wong • Mahmoud Famuori • Mohammad Javad Shafiee • Francis Li • Brendan Chwyl • Jonathan Chung	2019-10-03
Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model Justin Zheng • Kazuhide Okamoto • Panagiotis Tsiotras	2019-09-29
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations Diego R. Lucio • Rayson Laroca • Luiz A. Zanlorensi • Gladston Moreira • David Menotti	2019-07-31
A Comparison of Super-Resolution and Nearest Neighbors Interpolation Applied to Object Detection on Satellite Data Evan Koester • Cem Safak Sahin	2019-07-08
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors Mohammad Mahdi Derakhshani • Saeed Masoudnia • Amir Hossein Shaker • Omid Mersa • Mohammad Amin Sadeghi • Mohammad Rastegari • Babak N. Araabi	2019-06-12
Light-Weight RetinaNet for Object Detection \| Yixing Li • Fengbo Ren	2019-05-24
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange Xiaoye Sun • Gongyan Li • Shaoyun Xu	2019-05-24
Object Detection in Specific Traffic Scenes using YOLOv2 Shouyu Wang • Weitao Tang	2019-05-12
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection Zhanchao Huang • Jianlin Wang	2019-03-20
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras Adrian Cosma • Ion Emilian Radoi • Valentin Radu	2018-12-28
An evaluation metric for object detection algorithms in autonomous navigation systems and its application to a real-time alerting system \| Harshitha Machiraju • Sumohana S. Channappayya	2018-10-10
Physical Adversarial Examples for Object Detectors Kevin Eykholt • Ivan Evtimov • Earlence Fernandes • Bo Li • Amir Rahmati • Florian Tramer • Atul Prakash • Tadayoshi Kohno • Dawn Song	2018-07-20
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures Alexey Potapov • Innokentii Zhdanov • Oleg Scherbakov • Nikolai Skorobogatko • Hugo Latapie • Enzo Fenoglio	2018-06-14
Model-based active learning to detect isometric deformable objects in the wild with deep architectures Shrinivasan Sankar • Adrien Bartoli	2018-06-07
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors Junhyug Noh • Soochan Lee • Beomsu Kim • Gunhee Kim	2018-06-01
Improved Person Detection on Omnidirectional Images with Non-maxima Suppression Roman Seidel • André Apitzsch • Gangolf Hirtz	2018-05-22
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors Hao Yu • Zhaoning Zhang • Zheng Qin • Hao Wu • Dongsheng Li • Jun Zhao • Xicheng Lu	2018-04-10
Iterative Low-Rank Approximation for CNN Compression Maksym Kholiavchenko	2018-03-23
Zero-Shot Detection \| Pengkai Zhu • Hanxiao Wang • Venkatesh Saligrama	2018-03-19
Complex-YOLO: Real-time 3D Object Detection on Point Clouds \| Martin Simon • Stefan Milz • Karl Amende • Horst-Michael Gross	2018-03-16
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks Mohammad Javad Shafiee • Brendan Chwyl • Francis Li • Rongyan Chen • Michelle Karg • Christian Scharfenberger • Alexander Wong	2018-01-16
Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA Farhan Shafiq • Takato Yamada • Antonio T. Vilchez • Sakyasingha Dasgupta	2017-12-18
Fast Vehicle Detection in Aerial Imagery Jennifer Carlet • Bernard Abayowa	2017-09-25
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video \| Mohammad Javad Shafiee • Brendan Chywl • Francis Li • Alexander Wong	2017-09-18
Yes-Net: An effective Detector Based on Global Information Liangzhuang Ma • Xin Kan • Qianjiang Xiao • Wenlong Liu • Peiqin Sun	2017-06-28
YOLO9000: Better, Faster, Stronger \| Joseph Redmon • Ali Farhadi # 4 DENSE OBJECT DETECTION ON SKU-110K	2016-12-25

Tasks

TASK	PAPERS	SHARE
Object Detection	23	43.40%
Real-Time Object Detection	5	9.43%
3D Object Detection	2	3.77%
Quantization	2	3.77%
Autonomous Driving	2	3.77%
Object Classification	2	3.77%
Face Detection	1	1.89%
Iris Segmentation	1	1.89%
Image Reconstruction	1	1.89%

Usage Over Time

This feature is experimental; we are continuously improving our matching algorithm.

Components

COMPONENT	TYPE	Add Remove
Darknet-19	Convolutional Neural Networks

Categories

Add Remove

Object Detection Models

One-Stage Object Detection Models