Papers 4D Panoptic Segmentation
“4D Panoptic Segmentation” 태그가 달린 논문 11편 · 필터 해제
Canonical Space Representation for 4D Panoptic Segmentation of Articulated Objects
Articulated object perception presents significant challenges in computer vision, particularly because most existing methods ignore temporal dynamics despite the inherently dynamic nature of such objects. The use of 4D t…
4D Panoptic Segmentation4DSegStreamer: Streaming 4D Panoptic Segmentation via Dual Threads
4D panoptic segmentation in a streaming setting is critical for highly dynamic environments, such as evacuating dense crowds and autonomous driving in complex scenarios, where real-time, fine-grained perception within a …
4D Panoptic SegmentationAutonomous Driving4D Panoptic Scene Graph Generation
We are living in a three-dimensional space while moving forward through a fourth dimension: time. To allow artificial intelligence to develop a comprehensive understanding of such a 4D environment, we introduce 4D Panopt…
4D Panoptic SegmentationGraph GenerationLanguage ModellingLarge Language Model+44D-Former: Multimodal 4D Panoptic Segmentation
4D panoptic segmentation is a challenging but practically useful task that requires every point in a LiDAR point-cloud sequence to be assigned a semantic class label, and individual objects to be segmented and tracked ov…
4D Panoptic SegmentationPanoptic SegmentationPanoptic TrackingSegmentationMask4Former: Mask Transformer for 4D Panoptic Segmentation
Accurately perceiving and tracking instances over time is essential for the decision-making processes of autonomous agents interacting safely in dynamic environments. With this intention, we propose Mask4Former for the c…
4D Panoptic SegmentationInstance SegmentationObject TrackingPanoptic Segmentation+1Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences
Scene understanding is crucial for autonomous systems to reliably navigate in the real world. Panoptic segmentation of 3D LiDAR scans allows us to semantically describe a vehicle’s environment by predicting semantic clas…
3D Panoptic Segmentation4D Panoptic SegmentationNavigatePanoptic Segmentation+24D Panoptic Segmentation as Invariant and Equivariant Field Prediction
In this paper, we develop rotation-equivariant neural networks for 4D panoptic segmentation. 4D panoptic segmentation is a benchmark task for autonomous driving that requires recognizing semantic classes and object insta…
4D Panoptic SegmentationAutonomous DrivingPanoptic SegmentationSegmentation4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
In this work, we present a new paradigm, called 4D-StOP, to tackle the task of 4D Panoptic LiDAR Segmentation. 4D-StOP first generates spatio-temporal proposals using voting-based center predictions, where each point in …
4D Panoptic SegmentationObject Proposal GenerationPanoptic SegmentationLiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network
With the rapid advances of autonomous driving, it becomes critical to equip its sensing system with more holistic 3D perception. However, existing works focus on parsing either the objects (e.g. cars and pedestrians) or …
4D Panoptic SegmentationAutonomous DrivingClusteringPanoptic Segmentation+1Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans
Scene understanding is critical for autonomous navigation in dynamic environments. Perception tasks in this domain like segmentation and tracking are usually tackled individually. In this paper, we address the problem of…
4D Panoptic SegmentationAutonomous NavigationContrastive LearningMetric Learning+34D Panoptic LiDAR Segmentation
Temporal semantic scene understanding is critical for self-driving cars or robots operating in dynamic environments. In this paper, we propose 4D panoptic LiDAR segmentation to assign a semantic class and a temporally-co…
4D Panoptic SegmentationBenchmarkingMulti-Object TrackingObject Tracking+3