{"total":163,"rows":[{"id":"2201.03546","title":"Language-driven Semantic Segmentation","created":"2022-01-10","cited_by_count":717,"area":null},{"id":"2205.15585","title":"Decomposing NeRF for Editing via Feature Field Distillation","created":"2022-05-31","cited_by_count":371,"area":null},{"id":"2206.08367","title":"SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation","created":"2022-06-16","cited_by_count":146,"area":null},{"id":"2112.13762","title":"MSeg: A Composite Dataset for Multi-domain Semantic Segmentation","created":"2021-12-27","cited_by_count":122,"area":null},{"id":"2305.03273","title":"Semantic Segmentation using Vision Transformers: A survey","created":"2023-05-05","cited_by_count":73,"area":null},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2505.23757","title":"Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models","created":"2025-05-29","cited_by_count":60,"area":"vla"},{"id":"2103.13318","title":"Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types","created":"2021-03-24","cited_by_count":54,"area":null},{"id":"2111.12780","title":"Transferability Estimation using Bhattacharyya Class Separability","created":"2021-11-24","cited_by_count":54,"area":null},{"id":"2402.10086","title":"Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review","created":"2024-02-08","cited_by_count":53,"area":null},{"id":"2103.05687","title":"Capturing Omni-Range Context for Omnidirectional Segmentation","created":"2021-03-09","cited_by_count":50,"area":null},{"id":"2204.03609","title":"Pin the Memory: Learning to Generalize Semantic Segmentation","created":"2022-04-07","cited_by_count":49,"area":null},{"id":"2304.08130","title":"A Survey on Few-Shot Class-Incremental Learning","created":"2023-04-17","cited_by_count":48,"area":null},{"id":"2103.04717","title":"Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation","created":"2021-03-08","cited_by_count":44,"area":null},{"id":"2304.14811","title":"NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields","created":"2023-04-28","cited_by_count":44,"area":null},{"id":"2106.03418","title":"Multi-Target Domain Adaptation with Collaborative Consistency Learning","created":"2021-06-07","cited_by_count":43,"area":null},{"id":"2110.11062","title":"Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation","created":"2021-10-21","cited_by_count":34,"area":null},{"id":"2303.11316","title":"Generative Semantic Segmentation","created":"2023-03-20","cited_by_count":32,"area":null},{"id":"2401.12761","title":"MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty","created":"2024-01-23","cited_by_count":32,"area":null},{"id":"2204.01403","title":"How stable are Transferability Metrics evaluations?","created":"2022-04-04","cited_by_count":30,"area":null},{"id":"2402.02112","title":"S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation","created":"2024-02-03","cited_by_count":28,"area":"wm"},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2110.12205","title":"Multi-Domain Incremental Learning for Semantic Segmentation","created":"2021-10-23","cited_by_count":25,"area":null},{"id":"2304.02163","title":"GINA-3D: Learning to Generate Implicit Neural Assets in the Wild","created":"2023-04-04","cited_by_count":25,"area":null},{"id":"2111.13011","title":"Transferability Metrics for Selecting Source Model Ensembles","created":"2021-11-25","cited_by_count":24,"area":null},{"id":"2203.01437","title":"MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks","created":"2022-03-02","cited_by_count":24,"area":null},{"id":"2312.09231","title":"Reliability in Semantic Segmentation: Can We Use Synthetic Data?","created":"2023-12-14","cited_by_count":24,"area":null},{"id":"2401.08045","title":"Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities","created":"2024-01-16","cited_by_count":24,"area":"driving"},{"id":"2207.06873","title":"BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks","created":"2022-07-14","cited_by_count":23,"area":null},{"id":"2312.03408","title":"Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future","created":"2023-12-06","cited_by_count":23,"area":null},{"id":"2103.11015","title":"Video Class Agnostic Segmentation Benchmark for Autonomous Driving","created":"2021-03-19","cited_by_count":22,"area":null},{"id":"2204.09788","title":"SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints","created":"2022-04-20","cited_by_count":22,"area":null},{"id":"2406.07661","title":"ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones","created":"2024-06-11","cited_by_count":22,"area":null},{"id":"2212.02400","title":"Location-Aware Self-Supervised Transformers for Semantic Segmentation","created":"2022-12-05","cited_by_count":20,"area":null},{"id":"2405.19882","title":"PixOOD: Pixel-Level Out-of-Distribution Detection","created":"2024-05-30","cited_by_count":20,"area":null},{"id":"2112.03241","title":"Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey","created":"2021-12-06","cited_by_count":19,"area":null},{"id":"2203.11160","title":"Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation","created":"2022-03-21","cited_by_count":19,"area":null},{"id":"2206.14554","title":"Uncertainty-aware Panoptic Segmentation","created":"2022-06-29","cited_by_count":17,"area":null},{"id":"2302.09899","title":"A Survey on Semi-Supervised Semantic Segmentation","created":"2023-02-20","cited_by_count":17,"area":null},{"id":"2108.06962","title":"Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation","created":"2021-08-16","cited_by_count":16,"area":null},{"id":"2303.11298","title":"Reliability in Semantic Segmentation: Are We on the Right Track?","created":"2023-03-20","cited_by_count":16,"area":null},{"id":"2407.13771","title":"Training-Free Model Merging for Multi-target Domain Adaptation","created":"2024-07-18","cited_by_count":15,"area":null},{"id":"2106.01629","title":"Semantic Palette: Guiding Scene Generation with Class Proportions","created":"2021-06-03","cited_by_count":14,"area":null},{"id":"2108.11224","title":"Multi-domain semantic segmentation with overlapping labels","created":"2021-08-25","cited_by_count":14,"area":null},{"id":"2202.14030","title":"Learning Semantic Segmentation from Multiple Datasets with Label Shifts","created":"2022-02-28","cited_by_count":14,"area":null},{"id":"2304.14271","title":"A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2101.12543","title":"Few-Shot Learning for Road Object Detection","created":"2021-01-29","cited_by_count":13,"area":null},{"id":"2203.10939","title":"Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review","created":"2022-03-07","cited_by_count":13,"area":null},{"id":"2404.08561","title":"IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic","created":"2024-04-12","cited_by_count":13,"area":null},{"id":"2109.07648","title":"METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors","created":"2021-09-16","cited_by_count":12,"area":null},{"id":"2204.11667","title":"Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation","created":"2022-04-25","cited_by_count":12,"area":null},{"id":"2309.15751","title":"InfraParis: A multi-modal and multi-task autonomous driving dataset","created":"2023-09-27","cited_by_count":12,"area":null},{"id":"2311.14459","title":"IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather","created":"2023-11-24","cited_by_count":12,"area":null},{"id":"2402.16392","title":"Placing Objects in Context via Inpainting for Out-of-distribution Segmentation","created":"2024-02-26","cited_by_count":12,"area":null},{"id":"2202.01909","title":"Ad-datasets: a meta-collection of data sets for autonomous driving","created":"2022-02-03","cited_by_count":11,"area":null},{"id":"2210.12878","title":"IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes","created":"2022-10-23","cited_by_count":11,"area":null},{"id":"2212.00621","title":"CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars","created":"2022-12-01","cited_by_count":11,"area":null},{"id":"2203.06811","title":"ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation","created":"2022-03-14","cited_by_count":10,"area":null},{"id":"2207.04415","title":"SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow","created":"2022-07-10","cited_by_count":10,"area":null},{"id":"2207.10398","title":"D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights","created":"2022-07-21","cited_by_count":10,"area":null},{"id":"2210.07016","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2404.03778","title":"Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar\\'e Ball","created":"2024-04-04","cited_by_count":9,"area":null},{"id":"2208.05788","title":"Semantic Self-adaptation: Enhancing Generalization with a Single Sample","created":"2022-08-10","cited_by_count":8,"area":null},{"id":"2311.03017","title":"COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving","created":"2023-11-06","cited_by_count":8,"area":null},{"id":"2207.08445","title":"Automatic universal taxonomies for multi-domain semantic segmentation","created":"2022-07-18","cited_by_count":7,"area":null},{"id":"2211.09620","title":"TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation","created":"2022-11-17","cited_by_count":7,"area":null},{"id":"2211.12256","title":"VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions","created":"2022-11-22","cited_by_count":7,"area":null},{"id":"2304.10036","title":"Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations","created":"2023-04-20","cited_by_count":7,"area":null},{"id":"2308.06072","title":"Out-of-Distribution Detection for Monocular Depth Estimation","created":"2023-08-11","cited_by_count":7,"area":null},{"id":"2310.00165","title":"SCoRe: Submodular Combinatorial Representation Learning","created":"2023-09-29","cited_by_count":7,"area":null},{"id":"2410.07701","title":"Autonomous Driving in Unstructured Environments: How Far Have We Come?","created":"2024-10-10","cited_by_count":7,"area":"driving"},{"id":"2607.06560","title":"Vision as Unified Multimodal Generation","created":"2026-07-07","cited_by_count":7,"area":null},{"id":"2108.08923","title":"CenterPoly: real-time instance segmentation using bounding polygons","created":"2021-08-19","cited_by_count":6,"area":null},{"id":"2109.07245","title":"Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images","created":"2021-09-15","cited_by_count":6,"area":null},{"id":"2201.06974","title":"Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation","created":"2022-01-18","cited_by_count":6,"area":null},{"id":"2202.02002","title":"Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings","created":"2022-02-04","cited_by_count":6,"area":null},{"id":"2203.10395","title":"Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning","created":"2022-03-19","cited_by_count":6,"area":null},{"id":"2409.15107","title":"The BRAVO Semantic Segmentation Challenge Results in UNCV2024","created":"2024-09-23","cited_by_count":6,"area":null},{"id":"2108.03021","title":"Road Scenes Segmentation Across Different Domains by Disentangling Latent Representations","created":"2021-08-06","cited_by_count":5,"area":null},{"id":"2203.05294","title":"Domain Generalisation for Object Detection under Covariate and Concept Shift","created":"2022-03-10","cited_by_count":5,"area":null},{"id":"2211.16234","title":"SimCS: Simulation for Domain Incremental Online Continual Segmentation","created":"2022-11-29","cited_by_count":5,"area":null},{"id":"2212.10340","title":"Weakly supervised training of universal visual concepts for multi-domain semantic segmentation","created":"2022-12-20","cited_by_count":5,"area":null},{"id":"2303.09083","title":"Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation","created":"2023-03-16","cited_by_count":5,"area":"distill"},{"id":"2309.02429","title":"Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach","created":"2023-09-05","cited_by_count":5,"area":null},{"id":"2404.07664","title":"Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes","created":"2024-04-11","cited_by_count":5,"area":null},{"id":"2408.04471","title":"What could go wrong? Discovering and describing failure modes in computer vision","created":"2024-08-08","cited_by_count":5,"area":null},{"id":"2202.06884","title":"COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets","created":"2022-02-14","cited_by_count":4,"area":null},{"id":"2205.01414","title":"Multimodal Detection of Unknown Objects on Roads for Autonomous Driving","created":"2022-05-03","cited_by_count":4,"area":null},{"id":"2109.05226","title":"Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads","created":"2021-09-11","cited_by_count":3,"area":null},{"id":"2111.06639","title":"Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection","created":"2021-11-12","cited_by_count":3,"area":null},{"id":"2202.10002","title":"Vision-based Autonomous Driving for Unstructured Environments Using Imitation Learning","created":"2022-02-21","cited_by_count":3,"area":"driving"},{"id":"2204.08364","title":"Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads","created":"2022-04-18","cited_by_count":3,"area":null},{"id":"2207.03513","title":"False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation","created":"2022-07-07","cited_by_count":3,"area":null},{"id":"2210.01578","title":"Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation","created":"2022-10-04","cited_by_count":3,"area":null},{"id":"2210.12852","title":"1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track","created":"2022-10-23","cited_by_count":3,"area":null},{"id":"2506.05917","title":"Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness","created":"2025-06-06","cited_by_count":3,"area":null},{"id":"2506.16319","title":"RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving","created":"2025-06-19","cited_by_count":3,"area":null},{"id":"2106.04400","title":"CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation","created":"2021-06-08","cited_by_count":2,"area":null},{"id":"2110.15074","title":"Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection","created":"2021-10-28","cited_by_count":2,"area":null},{"id":"2111.08243","title":"CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles","created":"2021-11-16","cited_by_count":2,"area":null}],"next_cursor":"100"}