Should we pre-train a decoder in contrastive learning for dense prediction tasks?

21 March 2025

Papers citing "Should we pre-train a decoder in contrastive learning for dense prediction tasks?"

30 / 30 papers shown

Title
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 76 54 0 29 Nov 2023
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning Chongjian Ge Jiangliu Wang Zhan Tong Shoufa Chen Yibing Song Ping Luo SSL 40 28 0 30 Mar 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations Ziyu Jiang Yinpeng Chen Mengchen Liu Dongdong Chen Xiyang Dai Lu Yuan Zicheng Liu Zhangyang Wang SSL VLM CLIP 70 17 0 27 Feb 2023
VICRegL: Self-Supervised Learning of Local Visual Features Adrien Bardes Jean Ponce Yann LeCun SSL 78 124 0 04 Oct 2022
Global-Local Self-Distillation for Visual Representation Learning Tim Lebailly Tinne Tuytelaars SSL 34 6 0 29 Jul 2022
Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen Bingchen Zhao Anlin Zheng Xinming Zhang Xiaojuan Qi SSL 185 73 0 30 May 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation Feng Wang Huiyu Wang Chen Wei Alan Yuille Wei Shen SSL VLM 64 35 0 22 Mar 2022
Object discovery and representation networks Olivier J. Hénaff Skanda Koppula Evan Shelhamer Daniel Zoran Andrew Jaegle Andrew Zisserman João Carreira Relja Arandjelović 81 89 0 16 Mar 2022
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu Baining Guo ViT 98 242 0 24 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 451 7,739 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 665 6,066 0 29 Apr 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 111 62 0 27 Apr 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,052 0 20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Zhenda Xie Yutong Lin Zheng Zhang Yue Cao Stephen Lin Han Hu SSL 99 413 0 19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang Rufeng Zhang Chunhua Shen Tao Kong Lei Li SSL 74 684 0 18 Nov 2020
Unsupervised Learning of Dense Visual Representations Pedro H. O. Pinheiro Amjad Almahairi Ryan Y. Benmalek Florian Golemo Aaron Courville SSL MDE 100 193 0 11 Nov 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 358 18,739 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 196 12,073 0 13 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 137 18,115 0 28 May 2019
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 252 3,288 0 21 Mar 2018
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 91 2,077 0 13 Oct 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 463 22,102 0 09 Dec 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 735 37,846 0 20 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,293 0 25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,609 0 06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 168 2,979 0 30 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
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