Deep spectral methods: a surprisingly strong baseline for unsupervised semantic segmentation and localization

Deep spectral methods: a surprisingly strong baseline for unsupervised semantic segmentation and localization

Unsupervised localization and segmentation are long-standing computer vision challenges that involve decom-posing an image into semantically meaningful segments without any labeled data. These tasks are particularly interesting in an unsupervised setting due to the difficulty and cost of obtaining d...

Descripció completa

Dades bibliogràfiques
Autors principals:	Melas-Kyriazi, L, Rupprecht, C, Laina, I, Vedaldi, A
Format:	Conference item
Idioma:	English
Publicat:	IEEE 2022

Ítems similars

Finding an unsupervised image segmenter in each of your deep generative models
per: Melas-Kyriazi, L, et al.
Publicat: (2021)

RealFusion: 360 reconstruction of any object from a single image
per: Melas-Kyriazi, L, et al.
Publicat: (2023)

Unsupervised multi-object segmentation by predicting probable motion patterns
per: Karazija, L, et al.
Publicat: (2022)

Guess what moves: unsupervised video and image segmentation by anticipating motion
per: Choudhury, S, et al.
Publicat: (2022)

Unsupervised part discovery from contrastive reconstruction
per: Choudhury, S, et al.
Publicat: (2021)

PC2: projection-conditioned point cloud diffusion for single-image 3D reconstruction
per: Melas-Kyriazi, L, et al.
Publicat: (2023)

IM-3D: iterative multiview diffusion and reconstruction for high-quality 3D generation
per: Melas-Kyriazi, L, et al.
Publicat: (2024)

Diffusion models for open-vocabulary segmentation
per: Karazija, L, et al.
Publicat: (2024)

Learning segmentation from point trajectories
per: Karazija, L, et al.
Publicat: (2025)

Diffusion models for open-vocabulary segmentation
per: Karazija, L, et al.
Publicat: (2023)

AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
per: Jannis Blüml, et al.
Publicat: (2023-05-01)

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation
per: Kowshik Thopalli, et al.
Publicat: (2023-01-01)

Large-scale unsupervised semantic segmentation
per: Gao, S, et al.
Publicat: (2022)

Latent space unsupervised semantic segmentation
per: Knut J. Strommen, et al.
Publicat: (2023-04-01)

Measuring the interpretability of unsupervised representations via quantized reversed probing
per: Laina, I, et al.
Publicat: (2021)

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild
per: Wu, S, et al.
Publicat: (2021)

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild
per: Wu, S, et al.
Publicat: (2020)

Invariant information clustering for unsupervised image classification and segmentation
per: Ji, X, et al.
Publicat: (2020)

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild (extended abstract)
per: Wu, S, et al.
Publicat: (2021)

SmooSeg: smoothness prior for unsupervised semantic segmentation
per: Lan, Mengcheng, et al.
Publicat: (2024)

Unsupervised Domain Adaptation in Semantic Segmentation: A Review
per: Marco Toldo, et al.
Publicat: (2020-06-01)

Pylon model for semantic segmentation
per: Lempitsky, V, et al.
Publicat: (2012)

Adversarial cross-modal unsupervised domain adaptation in semantic segmentation
per: Shi, Mengqi
Publicat: (2022)

Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models
per: Jose L. Gómez, et al.
Publicat: (2023-01-01)

Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer
per: Weitao Li, et al.
Publicat: (2022-10-01)

The curious layperson: fine-grained image recognition without expert labels
per: Choudhury, S, et al.
Publicat: (2022)

Unsupervised Semantic Segmentation of PolSAR Images Based on Multiview Similarity
per: Meilin Li, et al.
Publicat: (2024-01-01)

Unsupervised TOF Image Segmentation through Spectral Clustering and Region Merging
per: Luciano Lorenti, et al.
Publicat: (2018-10-01)

Invisible stitch: generating smooth 3D scenes with depth inpainting
per: Engstler, P, et al.
Publicat: (2024)

Moving SLAM: fully unsupervised deep learning in non-rigid scenes
per: Xu, D, et al.
Publicat: (2021)

Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods
per: Florent Poux, et al.
Publicat: (2019-05-01)

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving
per: Manuel Schwonberg, et al.
Publicat: (2023-01-01)

Semantic surprise predicts the N400 brain potential
per: Alma Lindborg, et al.
Publicat: (2023-03-01)

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
per: Dalca, Adrian Vasile, et al.
Publicat: (2021)

Understanding Unsupervised Deep Learning for Text Line Segmentation
per: Ahmad Droby, et al.
Publicat: (2022-09-01)

DIC: Deep Image Clustering for Unsupervised Image Segmentation
per: Lei Zhou, et al.
Publicat: (2020-01-01)

Log-Based Fault Localization with Unsupervised Log Segmentation
per: Wojciech Dobrowolski, et al.
Publicat: (2024-09-01)

An unsupervised semantic segmentation method that combines the ImSE-Net model with SLICm superpixel optimization
per: Zenan Yang, et al.
Publicat: (2024-12-01)

Deep Semantic-Preserving Reconstruction Hashing for Unsupervised Cross-Modal Retrieval
per: Shuli Cheng, et al.
Publicat: (2020-11-01)

BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images
per: Yuxiang Cai, et al.
Publicat: (2022-01-01)