{"total":25,"rows":[{"id":"2101.06894","title":"Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs","created":"2021-01-18","cited_by_count":144,"area":null},{"id":"2204.04656","title":"Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation","created":"2022-04-10","cited_by_count":79,"area":null},{"id":"2206.08948","title":"CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation","created":"2022-06-17","cited_by_count":60,"area":null},{"id":"2108.03227","title":"Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images","created":"2021-08-06","cited_by_count":48,"area":null},{"id":"2204.04655","title":"Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation","created":"2022-04-10","cited_by_count":38,"area":null},{"id":"2112.02582","title":"PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation","created":"2021-12-05","cited_by_count":36,"area":null},{"id":"2108.07682","title":"Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision","created":"2021-08-17","cited_by_count":31,"area":null},{"id":"2206.13199","title":"MGNet: Monocular Geometric Scene Understanding for Autonomous Driving","created":"2022-06-27","cited_by_count":27,"area":null},{"id":"2301.00954","title":"PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation","created":"2023-01-03","cited_by_count":19,"area":null},{"id":"2203.02104","title":"Interactive Image Synthesis with Panoptic Layout Generation","created":"2022-03-04","cited_by_count":17,"area":null},{"id":"2206.00468","title":"PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation","created":"2022-06-01","cited_by_count":14,"area":null},{"id":"2106.03188","title":"Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach","created":"2021-06-06","cited_by_count":10,"area":null},{"id":"2207.14227","title":"Visual Recognition by Request","created":"2022-07-28","cited_by_count":10,"area":null},{"id":"2306.01980","title":"Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning","created":"2023-06-03","cited_by_count":9,"area":null},{"id":"2104.03962","title":"Panoptic Segmentation Forecasting","created":"2021-04-08","cited_by_count":7,"area":null},{"id":"2212.07671","title":"Multi-task Fusion for Efficient Panoptic-Part Segmentation","created":"2022-12-15","cited_by_count":6,"area":null},{"id":"2108.07007","title":"Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation","created":"2021-08-16","cited_by_count":5,"area":null},{"id":"2106.04555","title":"Hierarchical Lov\\'asz Embeddings for Proposal-free Panoptic Segmentation","created":"2021-06-08","cited_by_count":4,"area":null},{"id":"2407.14110","title":"MC-PanDA: Mask Confidence for Panoptic Domain Adaptation","created":"2024-07-19","cited_by_count":4,"area":null},{"id":"2304.08222","title":"Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images","created":"2023-04-17","cited_by_count":3,"area":null},{"id":"2107.05093","title":"SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network","created":"2021-07-11","cited_by_count":2,"area":null},{"id":"2311.18618","title":"JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation","created":"2023-11-30","cited_by_count":2,"area":null},{"id":"2409.09893","title":"Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation","created":"2024-09-15","cited_by_count":1,"area":null},{"id":"2403.10413","title":"HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2609.39681","title":"MC-PanDA++: Simpler, Stronger, and More Robust Domain-Adaptive Panoptic Segmentation","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}