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The Cityscapes Dataset for Semantic Urban Scene Understanding
v1v2 (latest)

The Cityscapes Dataset for Semantic Urban Scene Understanding

6 April 2016
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
ArXiv (abs)PDFHTML

Papers citing "The Cityscapes Dataset for Semantic Urban Scene Understanding"

50 / 5,512 papers shown
Title
Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
Hang-Cheng Dong
Yibo Jiao
Fupeng Wei
Guodong Liu
Dong Ye
Bingguo Liu
65
0
0
15 Oct 2025
Dedelayed: Deleting remote inference delay via on-device correction
Dedelayed: Deleting remote inference delay via on-device correction
Dan G. Jacobellis
Mateen Ulhaq
Fabien Racapé
Hyomin Choi
N. Yadwadkar
88
0
0
15 Oct 2025
FlyAwareV2: A Multimodal Cross-Domain UAV Dataset for Urban Scene Understanding
FlyAwareV2: A Multimodal Cross-Domain UAV Dataset for Urban Scene Understanding
F. Barbato
Matteo Caligiuri
Pietro Zanuttigh
64
0
0
15 Oct 2025
MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites
MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites
Zhenxin Lei
Zhangwei Gao
Changyao Tian
Erfei Cui
Guanzhou Chen
...
Xiangyu Zhao
Jiayi Ji
Yu Qiao
Wenhai Wang
Gen Luo
VLM
193
0
0
14 Oct 2025
Towards General Urban Monitoring with Vision-Language Models: A Review, Evaluation, and a Research Agenda
Towards General Urban Monitoring with Vision-Language Models: A Review, Evaluation, and a Research Agenda
André Torneiro
Diogo Monteiro
Paulo Novais
Pedro Rangel Henriques
Nuno F. Rodrigues
101
0
0
14 Oct 2025
A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
Denis Zavadski
Damjan Kalšan
Tim Küchler
Haebom Lee
Stefan Roth
Carsten Rother
92
0
0
13 Oct 2025
Source-Free Object Detection with Detection Transformer
Source-Free Object Detection with Detection TransformerIEEE Transactions on Image Processing (IEEE TIP), 2025
Huizai Yao
Sicheng Zhao
Shuo Lu
Hui Chen
Yangyang Li
Guoping Liu
Tengfei Xing
C. Yan
Jianhua Tao
Guiguang Ding
ViT
69
1
0
13 Oct 2025
Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation
Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation
Joshua Niemeijer
J. Ehrhardt
Heinz Handels
H. Uzunova
DiffM
51
1
0
13 Oct 2025
Unified Open-World Segmentation with Multi-Modal Prompts
Unified Open-World Segmentation with Multi-Modal Prompts
Yang Liu
Yufei Yin
Chenchen Jing
M. Zhu
Hao Chen
Yuling Xi
Bo Feng
Hao Wang
Shiyu Li
Chunhua Shen
VLM
74
0
0
12 Oct 2025
A Machine Learning Perspective on Automated Driving Corner Cases
A Machine Learning Perspective on Automated Driving Corner Cases
Sebastian Schmidt
Julius Körner
Stephan Günnemann
140
0
0
12 Oct 2025
Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
Pîrvu Mihai-Cristian
Leordeanu Marius
122
1
0
11 Oct 2025
A Style-Based Profiling Framework for Quantifying the Synthetic-to-Real Gap in Autonomous Driving Datasets
A Style-Based Profiling Framework for Quantifying the Synthetic-to-Real Gap in Autonomous Driving Datasets
Dingyi Yao
Xinyao Han
RuiBo Ming
Zhihang Song
Lihui Peng
Jianming Hu
Danya Yao
Yi Zhang
80
0
0
11 Oct 2025
Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
Pouya Shaeri
Ryan T. Woo
Yasaman Mohammadpour
Ariane Middel
80
0
0
11 Oct 2025
SegTrans: Transferable Adversarial Examples for Segmentation Models
SegTrans: Transferable Adversarial Examples for Segmentation Models
Yufei Song
Ziqi Zhou
Qi Lu
Hangtao Zhang
Yifan Hu
Lulu Xue
Shengshan Hu
Minghui Li
Leo Yu Zhang
108
4
0
10 Oct 2025
Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
Weikai Huang
Jieyu Zhang
Taoyang Jia
Chenhao Zheng
Ziqi Gao
J. S. Park
Winson Han
Ranjay Krishna
149
0
0
10 Oct 2025
Semantic Segmentation Algorithm Based on Light Field and LiDAR Fusion
Semantic Segmentation Algorithm Based on Light Field and LiDAR Fusion
Jie Luo
Yuxuan Jiang
Xin Jin
M. Liu
Yihui Fan
72
0
0
08 Oct 2025
Data Factory with Minimal Human Effort Using VLMs
Data Factory with Minimal Human Effort Using VLMs
Jiaojiao Ye
Jiaxing Zhong
Qian Xie
Yuzhou Zhou
Niki Trigoni
Andrew Markham
DiffMVLM
164
0
0
07 Oct 2025
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI
Kun Xiang
Terry Jingchen Zhang
Yinya Huang
Jixi He
Zirong Liu
...
J. N. Han
Hang Xu
Han Li
Bin Dong
Xiaodan Liang
PINNAI4CE
292
1
0
06 Oct 2025
From Filters to VLMs: Benchmarking Defogging Methods through Object Detection and Segmentation Performance
From Filters to VLMs: Benchmarking Defogging Methods through Object Detection and Segmentation Performance
Ardalan Aryashad
Parsa Razmara
Amin Mahjoub
Seyedarmin Azizi
Mahdi Salmani
Arad Firouzkouhi
VLM
93
0
0
04 Oct 2025
Training-Free Out-Of-Distribution Segmentation With Foundation Models
Training-Free Out-Of-Distribution Segmentation With Foundation Models
Laith Nayal
Hadi Salloum
Ahmad Taha
Yaroslav Kholodov
Alexander Gasnikov
VLM
97
0
0
03 Oct 2025
Domain Generalization for Semantic Segmentation: A Survey
Domain Generalization for Semantic Segmentation: A Survey
Manuel Schwonberg
Hanno Gottschalk
OODAI4CE
112
1
0
03 Oct 2025
Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
Lihua Zhou
Mao Ye
Shuaifeng Li
Nianxin Li
Jinlin Wu
X. Zhu
Lei Deng
Hongbin Liu
Jiebo Luo
Zhen Lei
BDLVLMTTA
251
0
0
03 Oct 2025
FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation
FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation
Ding-Ruei Shen
FedMLVLM
118
0
0
02 Oct 2025
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors
Atif Belal
H. R. Medeiros
M. Pedersoli
Eric Granger
ObjDVLM
84
0
0
01 Oct 2025
Uncertainty Quantification for Regression using Proper Scoring Rules
Uncertainty Quantification for Regression using Proper Scoring Rules
Alexander Fishkov
Kajetan Schweighofer
Mykyta Ielanskyi
Nikita Kotelevskii
Mohsen Guizani
Maxim Panov
UQCV
190
1
1
30 Sep 2025
CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
Max Curie
Paulo da Costa
VLM
70
0
0
29 Sep 2025
Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations
Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations
Lorena Stracke
Lia Nimmermann
Shashank Agnihotri
Margret Keuper
Volker Blanz
73
0
0
29 Sep 2025
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
Fast Feature Field (F3\text{F}^3F3): A Predictive Representation of Events
Richeek Das
Kostas Daniilidis
Pratik Chaudhari
MDE
152
0
0
29 Sep 2025
Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models
Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models
Beomseok Kang
Niluthpol Chowdhury Mithun
Mikhail Sizintsev
Han-Pang Chiu
S. Samarasekera
81
0
0
28 Sep 2025
Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception
Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception
Divake Kumar
Sina Tayebati
Francesco Migliarba
Ranganath Krishnan
A. R. Trivedi
97
1
0
26 Sep 2025
Stratify or Die: Rethinking Data Splits in Image Segmentation
Stratify or Die: Rethinking Data Splits in Image Segmentation
Naga Venkata Sai Jitin Jami
Thomas Altstidl
Jonas Leo Mueller
Jindong Li
Dario Zanca
Bjoern M. Eskofier
Heike Leutheuser
72
0
0
25 Sep 2025
Boosting LiDAR-Based Localization with Semantic Insight: Camera Projection versus Direct LiDAR Segmentation
Boosting LiDAR-Based Localization with Semantic Insight: Camera Projection versus Direct LiDAR Segmentation
Sven Ochs
Philip Schorner
M. Zofka
Johann Marius Zöllner
56
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0
24 Sep 2025
Source-Free Domain Adaptive Semantic Segmentation of Remote Sensing Images with Diffusion-Guided Label Enrichment
Source-Free Domain Adaptive Semantic Segmentation of Remote Sensing Images with Diffusion-Guided Label Enrichment
Wenjie Liu
Hongmin Liu
Lixin Zhang
Bin Fan
DiffM
89
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0
23 Sep 2025
Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data
Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data
Earl Ranario
Ismael Mayanja
Heesup Yun
Brian N Bailey
J. M. Earles
106
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23 Sep 2025
Pure Vision Language Action (VLA) Models: A Comprehensive Survey
Pure Vision Language Action (VLA) Models: A Comprehensive Survey
Dapeng Zhang
Jin Sun
Chenghui Hu
Xiaoyan Wu
Zhenlong Yuan
R. Zhou
Fei Shen
Qingguo Zhou
LM&Ro
221
15
0
23 Sep 2025
Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
Chaehyun Kim
Heeseong Shin
Eunbeen Hong
Heeji Yoon
Anurag Arnab
Paul Hongsuck Seo
Sunghwan Hong
Seungryong Kim
160
5
0
22 Sep 2025
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Brown Ebouky
Ajad Chhatkuli
Cristiano Malossi
Christoph Studer
Roy Assaf
Andrea Bartezzaghi
CLL
97
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22 Sep 2025
Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation
Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth EstimationInternational Conference on Vehicle Technology and Intelligent Transport Systems (ICVTITS), 2025
Mohamad Mofeed Chaar
Jamal Raiyn
Galia Weidl
56
0
0
22 Sep 2025
COLA: Context-aware Language-driven Test-time Adaptation
COLA: Context-aware Language-driven Test-time AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2025
Aiming Zhang
Tianyuan Yu
Liang Bai
Jun Tang
Yanming Guo
Yirun Ruan
Yun Zhou
Zhihe Lu
TTAVLM
214
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0
22 Sep 2025
Flow-Induced Diagonal Gaussian Processes
Flow-Induced Diagonal Gaussian Processes
Moule Lin
Andrea Patane
Weipeng Jing
Shuhao Guan
Goetz Botterweck
160
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When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
Pan Liu
Jinshi Liu
107
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RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
Paul Julius Kühn
Duc Anh Nguyen
Arjan Kuijper
Holger Graf
Dieter W. Fellner
3DPC
217
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UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
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Xiaoqi Zhao
Youwei Pang
Chenyang Yu
Lihe Zhang
Huchuan Lu
Shijian Lu
Georges El Fakhri
Xiaofeng Liu
100
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Boosting Active Learning with Knowledge Transfer
Boosting Active Learning with Knowledge Transfer
Tianyang Wang
Xi Xiao
Gaofei Chen
Xiaoying Liao
Guo Cheng
Yingrui Ji
74
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Introducing Resizable Region Packing Problem in Image Generation, with a Heuristic Solution
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Hrishikesh Sharma
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[Re] Improving Interpretation Faithfulness for Vision Transformers
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Izabela Kurek
Wojciech Trejter
Stipe Frkovic
Andro Erdelez
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OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
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Bo Yin
Jiao-Long Cao
Xuying Zhang
Yuming Chen
Ming-Ming Cheng
Qibin Hou
MLLMVLM
94
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UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
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Self Identity Mapping
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Masked Feature Modeling Enhances Adaptive Segmentation
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Zhiheng Zhou
Tiantao Xian
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92
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