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Panoptic Segmentation

7 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).

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Latest papers without code

Connectivity-constrained interactive annotations for panoptic segmentation

ICLR 2020

Large-scale ground truth data sets are of crucial importance for deep learning based segmentation models, but annotating per-pixel masks is prohibitively time consuming.

PANOPTIC SEGMENTATION

Panoptic-DeepLab

10 Oct 2019

The semantic segmentation branch is the same as the typical design of any semantic segmentation model (e. g., DeepLab), while the instance segmentation branch is class-agnostic, involving a simple instance center regression.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Fast Panoptic Segmentation Network

9 Oct 2019

For lower resolutions of the Cityscapes dataset and for the Pascal VOC dataset, FPSNet runs at 22 and 35 frames per second, respectively.

PANOPTIC SEGMENTATION

DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation

26 Sep 2019

We present a novel dataset for training and benchmarking semantic SLAM methods.

BENCHMARKING PANOPTIC SEGMENTATION

Panoptic Image Annotation with a Collaborative Assistant

17 Jun 2019

This paper aims to reduce the time to annotate images for the panoptic segmentation task, which requires annotating segmentation masks and class labels for all object instances and stuff regions.

PANOPTIC SEGMENTATION

Learning Instance Occlusion for Panoptic Segmentation

13 Jun 2019

A common approach involves the fusion of instance segmentation (for "things") and semantic segmentation (for "stuff") proposals into a non-overlapping placement of segments, and resolves occlusions (or overlaps) between segments based on confidence scores.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

An End-To-End Network for Panoptic Segmentation

CVPR 2019

Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic.

PANOPTIC SEGMENTATION

Panoptic Feature Pyramid Networks

CVPR 2019

In this work, we perform a detailed study of this minimally extended version of Mask R-CNN with FPN, which we refer to as Panoptic FPN, and show it is a robust and accurate baseline for both tasks.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Attention-Guided Unified Network for Panoptic Segmentation

CVPR 2019

This paper studies panoptic segmentation, a recently proposed task which segments foreground (FG) objects at the instance level as well as background (BG) contents at the semantic level.

PANOPTIC SEGMENTATION