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Decoder Denoising Pretraining for Semantic Segmentation

Decoder Denoising Pretraining for Semantic Segmentation

23 May 2022
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
    AI4CE
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Papers citing "Decoder Denoising Pretraining for Semantic Segmentation"

25 / 25 papers shown
Title
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Yimin Zhu
Linlin Xu
DiffM
57
2
0
27 Feb 2025
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Liam Chalcroft
Jenny Crinion
Cathy J. Price
John Ashburner
146
0
0
21 Jan 2025
Joint-Embedding Predictive Architecture for Self-Supervised Learning of
  Mask Classification Architecture
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
Donghee Kim
Sungduk Cho
Hyeonwoo Cho
Chanmin Park
Jinyoung Kim
Won Hwa Kim
50
0
0
15 Jul 2024
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask
  Inpainting
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
Wouter Van Gansbeke
Bert De Brabandere
DiffM
46
11
0
18 Jan 2024
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model
  for Vibration Signal Generation
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
H. Yi
Lei Hou
Yuhong Jin
N. A. Saeed
Ali Kandil
Hao Duan
DiffM
31
21
0
13 Dec 2023
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time
  Series Anomaly Detection
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection
Chaocheng Yang
Tingyin Wang
Xuanhui Yan
DiffM
26
7
0
13 Oct 2023
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
Minheng Ni
Yabo Zhang
Kailai Feng
Xiaoming Li
Yiwen Guo
W. Zuo
DiffM
20
24
0
31 Aug 2023
C-DARL: Contrastive diffusion adversarial representation learning for
  label-free blood vessel segmentation
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
Boah Kim
Y. Oh
Bradford J. Wood
Ronald M. Summers
Jong Chul Ye
DiffM
MedIm
48
7
0
31 Jul 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Yuxin Mao
Jing Zhang
Mochu Xiang
Yun-Qiu Lv
Yiran Zhong
Yuchao Dai
DiffM
43
28
0
31 Jul 2023
Pre-Training with Diffusion models for Dental Radiography segmentation
Pre-Training with Diffusion models for Dental Radiography segmentation
Jérémy Rousseau
C. Alaka
E. Covili
H. Mayard
L. Misrachi
Willy Au
DiffM
MedIm
AI4CE
41
4
0
26 Jul 2023
A Deep Learning-based Compression and Classification Technique for Whole
  Slide Histopathology Images
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images
Agnes Barsi
S. Nayak
S. Parida
R. Shukla
MedIm
15
10
0
11 May 2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative
  Diffusion Features
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Nurislam Tursynbek
Marc Niethammer
MedIm
DiffM
23
5
0
28 Apr 2023
RangeAugment: Efficient Online Augmentation with Range Learning
RangeAugment: Efficient Online Augmentation with Range Learning
Sachin Mehta
Saeid Naderiparizi
Fartash Faghri
Maxwell Horton
Lailin Chen
Ali Farhadi
Oncel Tuzel
Mohammad Rastegari
26
6
0
20 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim
Wooseok Jang
Gyuseong Lee
Susung Hong
Junyoung Seo
Seung Wook Kim
VLM
DiffM
37
11
0
17 Dec 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
37
20
0
07 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
43
30
0
30 Oct 2022
A Generalist Framework for Panoptic Segmentation of Images and Videos
A Generalist Framework for Panoptic Segmentation of Images and Videos
Ting-Li Chen
Lala Li
Saurabh Saxena
Geoffrey E. Hinton
David J. Fleet
VGen
MLLM
43
102
0
12 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
516
0
06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
342
1,591
0
10 Nov 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
969
0
13 Dec 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,828
0
18 Aug 2016
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