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. 1902.07296
  4. Cited By
Augmentation for small object detection

Augmentation for small object detection

19 February 2019
Mate Kisantal
Z. Wojna
Jakub Murawski
Jacek Naruniec
Kyunghyun Cho
    ObjD
ArXivPDFHTML

Papers citing "Augmentation for small object detection"

23 / 23 papers shown
Title
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
Datao Tang
Xiangyong Cao
Xuan Wu
Jialin Li
Jing Yao
Xueru Bai
Deyu Meng
Yin Li
Deyu Meng
DiffM
107
7
0
23 Nov 2024
Relaxed Equivariance via Multitask Learning
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
84
3
0
23 Oct 2024
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Kunlin Wang
Zi Wang
Zhang Li
Ang Su
Xichao Teng
Minhao Liu
Qifeng Yu
Qifeng Yu
ObjD
139
9
0
21 Feb 2023
HRDNet: High-resolution Detection Network for Small Objects
HRDNet: High-resolution Detection Network for Small Objects
Ziming Liu
Guangyu Gao
Lin Sun
Zhiyuan Fang
ObjD
75
104
0
13 Jun 2020
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej A. Mazurowski
203
2,352
0
15 Oct 2017
Feature-Fused SSD: Fast Detection for Small Objects
Feature-Fused SSD: Fast Detection for Small Objects
Guimei Cao
Xuemei Xie
Wenzhe Yang
Quan Liao
Guangming Shi
Jinjian Wu
ObjD
52
237
0
15 Sep 2017
The Devil is in the Decoder: Classification, Regression and GANs
The Devil is in the Decoder: Classification, Regression and GANs
Z. Wojna
V. Ferrari
S. Guadarrama
N. Silberman
Liang-Chieh Chen
Alireza Fathi
J. Uijlings
60
93
0
18 Jul 2017
Perceptual Generative Adversarial Networks for Small Object Detection
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li
Xiaodan Liang
Yunchao Wei
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
50
722
0
16 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
120
3,675
0
08 Jun 2017
Improving Small Object Proposals for Company Logo Detection
Improving Small Object Proposals for Company Logo Detection
C. Eggert
D. Zecha
Stephan Brehm
Rainer Lienhart
ObjD
38
75
0
28 Apr 2017
Semantic Instance Segmentation via Deep Metric Learning
Semantic Instance Segmentation via Deep Metric Learning
Alireza Fathi
Z. Wojna
V. Rathod
Peng Wang
Hyun Oh Song
S. Guadarrama
Kevin Patrick Murphy
SSeg
48
203
0
30 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,129
0
20 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
142
1,913
0
23 Jan 2017
Finding Tiny Faces
Finding Tiny Faces
Peiyun Hu
Deva Ramanan
CVBM
ObjD
64
743
0
13 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
446
22,040
0
09 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
88
2,571
0
30 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
75
1,004
0
23 Nov 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
160
5,635
0
20 May 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
158
1,228
0
14 Dec 2015
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
86
1,208
0
14 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
202
29,742
0
08 Dec 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
478
62,122
0
04 Jun 2015
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
383
43,524
0
01 May 2014
1