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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
Masked Feature Modeling Enhances Adaptive Segmentation
Masked Feature Modeling Enhances Adaptive Segmentation
Wenlve Zhou
Zhiheng Zhou
Tiantao Xian
Yikui Zhai
Weibin Wu
Biyun Ma
92
0
0
17 Sep 2025
Adversarial Appearance Learning in Augmented Cityscapes for Pedestrian Recognition in Autonomous Driving
Adversarial Appearance Learning in Augmented Cityscapes for Pedestrian Recognition in Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2020
Artem Savkin
Thomas Lapotre
Kevin Strauss
Uzair Akbar
Federico Tombari
129
6
0
16 Sep 2025
Road Obstacle Video Segmentation
Road Obstacle Video Segmentation
Shyam Nandan Rai
Shyamgopal Karthik
Mariana-Iuliana Georgescu
Barbara Caputo
Carlo Masone
Zeynep Akata
VOS
149
0
0
16 Sep 2025
Synthetic Captions for Open-Vocabulary Zero-Shot Segmentation
Synthetic Captions for Open-Vocabulary Zero-Shot Segmentation
Tim Lebailly
Vijay Veerabadran
Satwik Kottur
Karl Ridgeway
Michael L. Iuzzolino
VLM
68
0
0
15 Sep 2025
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network
Navid Hashemi
Samuel Sasaki
Diego Manzanas Lopez
Lars Lindemann
Ipek Oguz
Meiyi Ma
Taylor T. Johnson
UQCVAAML
112
1
0
15 Sep 2025
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
Jordan Sassoon
Michal Szczepanski
Martyna Poreba
MQVLM
107
0
0
12 Sep 2025
Multimodal SAM-adapter for Semantic Segmentation
Multimodal SAM-adapter for Semantic SegmentationIEEE Access (IEEE Access), 2025
Iacopo Curti
Pierluigi Zama Ramirez
Alioscia Petrelli
Luigi Di Stefano
94
1
0
12 Sep 2025
DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception
DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception
Tim Broedermannn
Christos Sakaridis
Luigi Piccinelli
Wim Abbeloos
Luc Van Gool
MDE
232
1
0
11 Sep 2025
Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
Spyridon Loukovitis
Anastasios Arsenos
Vasileios Karampinis
Athanasios Voulodimos
52
1
0
11 Sep 2025
Semantic Concentration for Self-Supervised Dense Representations Learning
Semantic Concentration for Self-Supervised Dense Representations LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Peisong Wen
Qianqian Xu
Siran Dai
Runmin Cong
Qingming Huang
108
2
0
11 Sep 2025
MCTED: A Machine-Learning-Ready Dataset for Digital Elevation Model Generation From Mars Imagery
MCTED: A Machine-Learning-Ready Dataset for Digital Elevation Model Generation From Mars Imagery
Rafał Osadnik
Pablo Gómez
Eleni Bohacek
Rickbir Bahia
60
0
0
09 Sep 2025
SEEC: Segmentation-Assisted Multi-Entropy Models for Learned Lossless Image Compression
SEEC: Segmentation-Assisted Multi-Entropy Models for Learned Lossless Image Compression
Chunhang Zheng
Zichang Ren
Dou Li
80
0
0
09 Sep 2025
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
Svetlana Pavlitska
Beyza Keskin
Alwin Faßbender
Christian Hubschneider
Johann Marius Zöllner
UQCVMoE
190
2
0
05 Sep 2025
Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image Transmission
Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image TransmissionIEEE Transactions on Wireless Communications (TWC), 2025
Sijiang Li
Rongqing Zhang
Xiang Cheng
Jian Tang
60
0
0
02 Sep 2025
SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images
SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images
Pushpendra Dhakara
Prachi Chachodhia
Vaibhav Kumar
76
0
0
02 Sep 2025
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
Xinrui Gong
Oliver Hahn
Christoph Reich
Krishnakant Singh
Simone Schaub-Meyer
Daniel Cremers
Stefan Roth
OCL
158
0
0
02 Sep 2025
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2025
Senura Wanasekara
Van-Dinh Nguyen
Kok-Seng
M.-Duong Nguyen
Symeon Chatzinotas
O. Dobre
109
1
0
01 Sep 2025
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Yasser Benigmim
Subhankar Roy
Khalid Oublal
Imad Eddine Marouf
S. Essid
Vicky Kalogeiton
Stéphane Lathuilière
111
0
0
30 Aug 2025
How Well Do Vision--Language Models Understand Cities? A Comparative Study on Spatial Reasoning from Street-View Images
How Well Do Vision--Language Models Understand Cities? A Comparative Study on Spatial Reasoning from Street-View Images
Juneyoung Ro
Namwoo Kim
Yoonjin Yoon
84
1
0
29 Aug 2025
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
Yiming Lin
Yuchen Niu
Shang Wang
K. Huang
Qiufeng Wang
Xiao-Bo Jin
96
0
0
29 Aug 2025
GENNAV: Polygon Mask Generation for Generalized Referring Navigable Regions
GENNAV: Polygon Mask Generation for Generalized Referring Navigable Regions
Kei Katsumata
Yui Iioka
Naoki Hosomi
Teruhisa Misu
Kentaro Yamada
K. Sugiura
71
0
0
28 Aug 2025
IELDG: Suppressing Domain-Specific Noise with Inverse Evolution Layers for Domain Generalized Semantic Segmentation
IELDG: Suppressing Domain-Specific Noise with Inverse Evolution Layers for Domain Generalized Semantic Segmentation
Qizhe Fan
Chaoyu Liu
Zhonghua Qiao
Xiaoqin Shen
80
0
0
27 Aug 2025
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
Zhixiang Chi
Yanan Wu
Li Gu
Huan Liu
Ziqiang Wang
Yang Zhang
Yang Wang
Konstantinos N. Plataniotis
VLM
88
0
0
27 Aug 2025
Autoregressive Universal Video Segmentation Model
Autoregressive Universal Video Segmentation Model
Miran Heo
Sukjun Hwang
Min-Hung Chen
Y. Wang
Albert Gu
Seon Joo Kim
Ryo Hachiuma
VOS
154
1
0
26 Aug 2025
LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
Julian Ost
Andrea Ramazzina
Amogh Joshi
Maximilian Bömer
Mario Bijelic
Felix Heide
3DV
96
2
0
26 Aug 2025
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning
Le Zhang
Fuping Wu
Arun J. Thirunavukarasu
Kevin Bronik
Thomas Nichols
Bartlomiej W. Papie.z
64
0
0
25 Aug 2025
Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
Kaiyu Li
Xiangyong Cao
Ruixun Liu
Shihong Wang
Zixuan Jiang
Zhi Wang
Deyu Meng
73
1
0
25 Aug 2025
Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
Ming Yang
Dongrun Li
Xin Wang
Xiaoyang Yu
Xiaoming Wu
Shibo He
FedML
104
0
0
25 Aug 2025
Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
Sarina Penquitt
Tobias Riedlinger
Timo Heller
Markus Reischl
Matthias Rottmann
UQCV
45
0
0
25 Aug 2025
Performance is not All You Need: Sustainability Considerations for Algorithms
Performance is not All You Need: Sustainability Considerations for Algorithms
Xiang Li
Chong Zhang
Hongpeng Wang
Shreyank N. Gowda
Y. Li
Xiaobo Jin
104
0
0
24 Aug 2025
REGEN: Real-Time Photorealism Enhancement in Games via a Dual-Stage Generative Network Framework
REGEN: Real-Time Photorealism Enhancement in Games via a Dual-Stage Generative Network Framework
Stefanos Pasios
Nikos Nikolaidis
VGen
44
0
0
23 Aug 2025
Expandable Residual Approximation for Knowledge Distillation
Expandable Residual Approximation for Knowledge DistillationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zhaoyi Yan
Binghui Chen
Yunfan Liu
Qixiang Ye
CLL
97
0
0
22 Aug 2025
Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
Guangyu Sun
Jingtao Li
Weiming Zhuang
Chen Chen
C. L. Philip Chen
Lingjuan Lyu
90
0
0
22 Aug 2025
CoVeRaP: Cooperative Vehicular Perception through mmWave FMCW Radars
CoVeRaP: Cooperative Vehicular Perception through mmWave FMCW RadarsInternational Conference on Computer Communications and Networks (ICCCN), 2025
Jinyue Song
Hansol Ku
Jayneel Vora
Nelson Lee
Ahmad Kamari
P. Mohapatra
Parth H. Pathak
44
0
0
22 Aug 2025
Towards Open World Detection: A Survey
Towards Open World Detection: A Survey
Andrei-Stefan Bulzan
Cosmin Cernazanu-Glavan
ObjDVLM
155
0
0
22 Aug 2025
"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
Jon E. Froehlich
Jared Hwang
Zeyu Wang
John S. O'Meara
Xia Su
William Huang
Yang Zhang
Alex Fiannaca
Philip Q. Nelson
Shaun Kane
84
2
0
21 Aug 2025
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
Anthony Bisulco
Rahul Ramesh
Randall Balestriero
Pratik Chaudhari
94
0
0
21 Aug 2025
FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation
FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation
Gabriel Tjio
Jie Zhang
Xulei Yang
Yun Xing
N. Chung
Xiaofeng Cao
Ivor W. Tsang
C. Kwoh
Qing Guo
DiffMAAML
231
0
0
20 Aug 2025
RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection
RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection
Matthias Neuwirth-Trapp
Maarten Bieshaar
Danda Pani Paudel
Luc Van Gool
173
1
0
19 Aug 2025
ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
Xianda Guo
Ruijun Zhang
Yiqun Duan
Ruilin Wang
Matteo Poggi
...
Mike Horton
Yuan Si
Long Chen
Hao Zhao
Long Chen
3DVMDE
182
0
0
19 Aug 2025
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
Yi Yang
Kei Ikemura
Qingwen Zhang
Xiaomeng Zhu
Ci Li
Nazre Batool
Sina Sharif Mansouri
John Folkesson
MoMe
92
1
0
19 Aug 2025
Towards High-Resolution Industrial Image Anomaly Detection
Towards High-Resolution Industrial Image Anomaly Detection
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
76
0
0
18 Aug 2025
AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report
AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report
Andrei Dumitriu
Florin Miron
Florin Tatui
Radu Tudor Ionescu
Radu Timofte
...
Puhua Chen
Xu Liu
Jin Hu
Jinyang Xu
Biao Liu
160
0
0
18 Aug 2025
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
Liang Lv
Di Wang
Jing Zhang
L. Zhang
AI4TS
117
0
0
17 Aug 2025
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles PlatformIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025
Jun Liu
Zhenglun Kong
Pu Zhao
Weihao Zeng
Hao Tang
...
Wenbin Zhang
Geng Yuan
Wei Niu
Xue Lin
Yanzhi Wang
145
7
0
17 Aug 2025
Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception
Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception
Junjie Wang
Keyu Chen
Yulin Li
Bin Chen
Hengshuang Zhao
Xiaojuan Qi
Zhuotao Tian
CLIPVLM
86
1
0
15 Aug 2025
From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
From Pixel to Mask: A Survey of Out-of-Distribution Segmentation
Wenjie Zhao
Jia Li
Yunhui Guo
88
0
0
14 Aug 2025
Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
Yechan Kim
DongHo Yoon
Younkwan Lee
Unse Fatima
Hong Kook Kim
Songjae Lee
Sanga Park
Jeong Ho Park
Seonjong Kang
M. Jeon
VLM
131
1
0
14 Aug 2025
Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
Street Review: A Participatory AI-Based Framework for Assessing Streetscape InclusivityCities (Cities), 2025
Rashid Mushkani
Shin Koseki
161
7
0
14 Aug 2025
Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
Xinan Zhang
Haolin Wang
Yung-An Hsieh
Zhongyu Yang
Anthony Yezzi
Y. Tsai
141
1
0
14 Aug 2025
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