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. 2108.06152
  4. Cited By
Conditional DETR for Fast Training Convergence

Conditional DETR for Fast Training Convergence

13 August 2021
Depu Meng
Xiaokang Chen
Zejia Fan
Gang Zeng
Houqiang Li
Yuhui Yuan
Lei-huan Sun
Jingdong Wang
    ViT
ArXivPDFHTML

Papers citing "Conditional DETR for Fast Training Convergence"

18 / 68 papers shown
Title
Gather-Excite: Exploiting Feature Context in Convolutional Neural
  Networks
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
71
574
0
29 Oct 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
69
3,617
0
03 Aug 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
120
21,447
0
08 Apr 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
138
4,926
0
03 Dec 2017
Decoupled Weight Decay Regularization
Decoupled Weight Decay Regularization
I. Loshchilov
Frank Hutter
OffRL
144
2,136
0
14 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,481
0
05 Sep 2017
Focal Loss for Dense Object Detection
Focal Loss for Dense Object Detection
Nayeon Lee
Priya Goyal
Ross B. Girshick
Kaiming He
Piotr Dollár
ObjD
117
2,996
0
07 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
698
131,526
0
12 Jun 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
181
15,616
0
25 Dec 2016
UnitBox: An Advanced Object Detection Network
UnitBox: An Advanced Object Detection Network
Jiahui Yu
Yuning Jiang
Zhangyang Wang
Zhimin Cao
Thomas Huang
CVBM
93
1,467
0
04 Aug 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
90
58
0
31 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 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
229
29,816
0
08 Dec 2015
DenseBox: Unifying Landmark Localization with End to End Object
  Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
ObjD
55
463
0
16 Sep 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
697
36,935
0
08 Jun 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
502
62,270
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
303
25,051
0
30 Apr 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
413
43,638
0
01 May 2014
Previous
12