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. 2103.17220
  4. Cited By
Scale-aware Automatic Augmentation for Object Detection

Scale-aware Automatic Augmentation for Object Detection

31 March 2021
Yukang Chen
Yanwei Li
Tao Kong
Lu Qi
Ruihang Chu
Lei Li
Jiaya Jia
ArXivPDFHTML

Papers citing "Scale-aware Automatic Augmentation for Object Detection"

15 / 15 papers shown
Title
DADA: Differentiable Automatic Data Augmentation
DADA: Differentiable Automatic Data Augmentation
Yonggang Li
Guosheng Hu
Yongtao Wang
Timothy M. Hospedales
N. Robertson
Yongxin Yang
42
109
0
08 Mar 2020
GridMask Data Augmentation
GridMask Data Augmentation
Pengguang Chen
Shu Liu
Hengshuang Zhao
Xingquan Wang
Jiaya Jia
55
311
0
13 Jan 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
95
1,527
0
05 Dec 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
78
2,845
0
17 Jun 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy
  Schedules
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho
Eric Liang
Ion Stoica
Pieter Abbeel
Xi Chen
44
402
0
14 May 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
84
4,969
0
02 Apr 2019
Bag of Freebies for Training Object Detection Neural Networks
Bag of Freebies for Training Object Detection Neural Networks
Zhi-Li Zhang
Tong He
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
VLM
ObjD
39
188
0
11 Feb 2019
Scale-Aware Trident Networks for Object Detection
Scale-Aware Trident Networks for Object Detection
Yanghao Li
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
ObjD
68
880
0
07 Jan 2019
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
79
911
0
30 Oct 2018
Modeling Visual Context is Key to Augmenting Object Detection Datasets
Modeling Visual Context is Key to Augmenting Object Detection Datasets
Nikita Dvornik
Julien Mairal
Cordelia Schmid
60
243
0
19 Jul 2018
SNIPER: Efficient Multi-Scale Training
SNIPER: Efficient Multi-Scale Training
Bharat Singh
Mahyar Najibi
L. Davis
ObjD
49
483
0
23 May 2018
An Analysis of Scale Invariance in Object Detection - SNIP
An Analysis of Scale Invariance in Object Detection - SNIP
Bharat Singh
L. Davis
ObjD
69
738
0
22 Nov 2017
Learning to Compose Domain-Specific Transformations for Data
  Augmentation
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander J. Ratner
Henry R. Ehrenberg
Zeshan Hussain
Jared A. Dunnmon
Christopher Ré
50
349
0
06 Sep 2017
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi
Ishan Misra
M. Hebert
79
619
0
04 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
127
5,577
0
21 Jul 2017
1