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2012.03044
Cited By
Self-Supervised Visual Representation Learning from Hierarchical Grouping
5 December 2020
Xiao Zhang
Michael Maire
SSL
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Papers citing
"Self-Supervised Visual Representation Learning from Hierarchical Grouping"
50 / 54 papers shown
Title
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Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
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Sungduk Cho
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ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
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LaneCorrect: Self-supervised Lane Detection
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Xinyue Cai
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EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
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Woojung Han
Dayun Ju
Seong Jae Hwang
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A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data
Antonio Sclocchi
Alessandro Favero
Matthieu Wyart
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A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
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Xi Chen
Lihe Yang
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56
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Structural Adversarial Objectives for Self-Supervised Representation Learning
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102
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Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
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Optical Flow boosts Unsupervised Localization and Segmentation
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Abdeslam Boularias
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R-MAE: Regions Meet Masked Autoencoders
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Martin R. Oswald
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104
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Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
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Hamed Haddadi
75
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Training neural operators to preserve invariant measures of chaotic attractors
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Peter Y. Lu
Elena Orlova
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CLIP-S
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Suphanut Jamonnak
Liangke Gou
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Zero-shot Unsupervised Transfer Instance Segmentation
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Weidi Xie
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Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
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Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
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Manmohan Chandraker
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Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
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A. Lengyel
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59
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Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
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Rebecca Willett
61
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ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
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Zhennan Wang
Ze-Long Cheng
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Sangwoo Mo
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Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning
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ReCo: Retrieve and Co-segment for Zero-shot Transfer
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Weidi Xie
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Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
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Simon Vandenhende
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MSR: Making Self-supervised learning Robust to Aggressive Augmentations
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Erkun Yang
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Yuxuan Du
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Dadong Wang
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Self-Supervised Visual Representation Learning with Semantic Grouping
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Bingchen Zhao
Anlin Zheng
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Xiaojuan Qi
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217
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Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
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Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks
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Self-Supervised Learning of Object Parts for Semantic Segmentation
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Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
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Jyh-Jing Hwang
Yunhui Guo
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Stella X. Yu
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Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
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V. Koltun
Philip Torr
René Ranftl
Stephan R. Richter
62
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Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
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Matt Feiszli
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William C. Surmeier
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Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
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David Hurych
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UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
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Yousong Zhu
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81
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Point-Level Region Contrast for Object Detection Pre-Training
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Alan Yuille
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82
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Linear Variational State-Space Filtering
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Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation
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H. Kweon
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Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
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Rui Qian
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ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
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Topological Regularization for Dense Prediction
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