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. 2301.06673
  4. Cited By
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
v1v2 (latest)

Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation

17 January 2023
Trong-Hieu Nguyen-Mau
Quoc-Huy Trinh
Nhat-Tan Bui
M. Tran
Hai-Dang Nguyen
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation"

24 / 24 papers shown
Title
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
168
5,192
0
10 Jan 2022
Global Pooling, More than Meets the Eye: Position Information is Encoded
  Channel-Wise in CNNs
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
Md. Amirul Islam
M. Kowal
Sen Jia
Konstantinos G. Derpanis
Neil D. B. Bruce
54
28
0
17 Aug 2021
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++,
  Conditional Random Field and Test-Time Augmentation
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Debesh Jha
P. Smedsrud
Dag Johansen
Thomas de Lange
H. Johansen
Pål Halvorsen
Michael A. Riegler
89
227
0
26 Jul 2021
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and
  Colonoscopy
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
Debesh Jha
Nikhil Kumar Tomar
Sharib Ali
Michael A. Riegler
Haavard D. Johansen
Dag Johansen
Thomas de Lange
Pål Halvorsen
47
55
0
22 Apr 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su
Yu Lu
Shengfeng Pan
Ahmed Murtadha
Bo Wen
Yunfeng Liu
278
2,500
0
20 Apr 2021
Position, Padding and Predictions: A Deeper Look at Position Information
  in CNNs
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
Md. Amirul Islam
M. Kowal
Sen Jia
Konstantinos G. Derpanis
Neil D. B. Bruce
49
56
0
28 Jan 2021
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Nikhil Kumar Tomar
Debesh Jha
Sharib Ali
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Pål Halvorsen
58
109
0
30 Dec 2020
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
Debesh Jha
Steven A. Hicks
Krister Emanuelsen
Haavard D. Johansen
Dag Johansen
Thomas de Lange
Michael A. Riegler
Pål Halvorsen
42
35
0
30 Dec 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
302
236
0
16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
244
348
0
22 Jan 2020
Distance-IoU Loss: Faster and Better Learning for Bounding Box
  Regression
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng
Ping Wang
Wei Liu
Jinze Li
Rongguang Ye
Dongwei Ren
NoLa
107
3,701
0
19 Nov 2019
Kvasir-SEG: A Segmented Polyp Dataset
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha
P. Smedsrud
Michael A. Riegler
Pål Halvorsen
Thomas de Lange
Dag Johansen
Haavard D. Johansen
188
1,171
0
16 Nov 2019
ResUNet++: An Advanced Architecture for Medical Image Segmentation
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha
P. Smedsrud
Michael A. Riegler
Dag Johansen
Thomas de Lange
Pål Halvorsen
H. Johansen
SSeg
81
916
0
16 Nov 2019
Optimizing the Dice Score and Jaccard Index for Medical Image
  Segmentation: Theory & Practice
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
J. Bertels
Tom Eelbode
Maxim Berman
Dirk Vandermeulen
F. Maes
R. Bisschops
Matthew Blaschko
122
256
0
05 Nov 2019
Continuous Dice Coefficient: a Method for Evaluating Probabilistic
  Segmentations
Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations
R. Shamir
Yuval Duchin
Jinyoung Kim
Guillermo Sapiro
N. Harel
64
138
0
26 Jun 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
117
1,327
0
01 Apr 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
101
6,145
0
18 Jul 2018
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
114
3,765
0
15 Aug 2017
Dataset Augmentation in Feature Space
Dataset Augmentation in Feature Space
Terrance Devries
Graham W. Taylor
64
428
0
17 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
517
10,330
0
16 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
1