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Panoptic Segmentation

21 papers with code ยท Computer Vision

Panoptic segmentation unifies the typically distinct tasks of semantic segmentation (assign a class label to each pixel) and instance segmentation (detect and segment each object instance).

( Image credit: Detectron2 )

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Latest papers without code

Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances

17 Jun 2020

Object detection algorithms for Lidar data have seen numerous publications in recent years, reporting good results on dataset benchmarks oriented towards automotive requirements.

OBJECT CLASSIFICATION OBJECT DETECTION PANOPTIC SEGMENTATION

SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation

CVPR 2020

Monocular depth estimation is an ill-posed problem, and as such critically relies on scene priors and semantics.

MONOCULAR DEPTH ESTIMATION PANOPTIC SEGMENTATION

BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation

CVPR 2020

Panoptic segmentation aims to perform instance segmentation for foreground instances and semantic segmentation for background stuff simultaneously.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Real-Time Panoptic Segmentation From Dense Detections

CVPR 2020

Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution.

OBJECT DETECTION PANOPTIC SEGMENTATION SCENE PARSING

Bidirectional Graph Reasoning Network for Panoptic Segmentation

CVPR 2020

We introduce a Bidirectional Graph Reasoning Network (BGRNet), which incorporates graph structure into the conventional panoptic segmentation network to mine the intra-modular and inter-modular relations within and between foreground things and background stuff classes.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Pixel Consensus Voting for Panoptic Segmentation

CVPR 2020

The core of our approach, Pixel Consensus Voting, is a framework for instance segmentation based on the generalized Hough transform.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Video Panoptic Segmentation

CVPR 2020

In this paper, we propose and explore a new video extension of this task, called video panoptic segmentation.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Learning Instance Occlusion for Panoptic Segmentation

CVPR 2020

Panoptic segmentation requires segments of both "things" (countable object instances) and "stuff" (uncountable and amorphous regions) within a single output.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

CVPR 2020

In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast system for panoptic segmentation, aiming to establish a solid baseline for bottom-up methods that can achieve comparable performance of two-stage methods while yielding fast inference speed.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION