Papers Part-aware Panoptic Segmentation
“Part-aware Panoptic Segmentation” 태그가 달린 논문 9편 · 필터 해제
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
The Panoptic Quality (PQ) metric is the standard for jointly evaluating instance and semantic segmentation. However, its original definition relies on a One-to-One matching between predicted and ground truth segments, wh…
Part-aware Panoptic SegmentationSemantic SegmentationTask-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
Part-aware panoptic segmentation (PPS) requires (a) that each foreground object and background region in an image is segmented and classified, and (b) that all parts within foreground objects are segmented, classified an…
Panoptic SegmentationPart-aware Panoptic SegmentationEfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation
The use of autonomous robots for assistance tasks in hospitals has the potential to free up qualified staff and im-prove patient care. However, the ubiquity of deformable and transparent objects in hospital settings pose…
Panoptic SegmentationPart-aware Panoptic SegmentationTransparent objectsJPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
Part-aware panoptic segmentation is a problem of computer vision that aims to provide a semantic understanding of the scene at multiple levels of granularity. More precisely, semantic areas, object instances, and semanti…
Panoptic SegmentationPart-aware Panoptic SegmentationRepresentation LearningMulti-task Fusion for Efficient Panoptic-Part Segmentation
In this paper, we introduce a novel network that generates semantic, instance, and part segmentation using a shared encoder and effectively fuses them to achieve panoptic-part segmentation. Unifying these three segmentat…
Image SegmentationPart-aware Panoptic SegmentationRepresentation LearningSegmentationPanoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) aims to unify panoptic segmentation and part segmentation into one task. Previous work mainly utilizes separated approaches to handle thing, stuff, and part predictions individually witho…
Panoptic SegmentationPart-aware Panoptic SegmentationSegmentationTowards holistic scene understanding: Semantic segmentation and beyond
This dissertation addresses visual scene understanding and enhances segmentation performance and generalization, training efficiency of networks, and holistic understanding. First, we investigate semantic segmentation in…
object-detectionObject DetectionPanoptic SegmentationPart-aware Panoptic Segmentation+4Part-aware Panoptic Segmentation
In this work, we introduce the new scene understanding task of Part-aware Panoptic Segmentation (PPS), which aims to understand a scene at multiple levels of abstraction, and unifies the tasks of scene parsing and part p…
Image SegmentationPanoptic SegmentationPart-aware Panoptic SegmentationScene Parsing+2Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
In this technical report, we present two novel datasets for image scene understanding. Both datasets have annotations compatible with panoptic segmentation and additionally they have part-level labels for selected semant…
Human Part SegmentationPanoptic SegmentationPart-aware Panoptic SegmentationScene Understanding+2