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Panoptic Segmentation

10 papers with code · 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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Greatest papers with code

SOLOv2: Dynamic, Faster and Stronger

23 Mar 2020aim-uofa/adet

Importantly, we take one step further by dynamically learning the mask head of the object segmenter such that the mask head is conditioned on the location.

INSTANCE SEGMENTATION OBJECT DETECTION PANOPTIC SEGMENTATION

UPSNet: A Unified Panoptic Segmentation Network

CVPR 2019 uber-research/UPSNet

More importantly, we introduce a parameter-free panoptic head which solves the panoptic segmentation via pixel-wise classification.

#3 best model for Panoptic Segmentation on Cityscapes val (using extra training data)

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

CenterMask : Real-Time Anchor-Free Instance Segmentation

arXiv 2019 youngwanLEE/CenterMask

We hope that CenterMask and VoVNetV2 can serve as a solid baseline of real-time instance segmentation and backbone network for various vision tasks, respectively.

PANOPTIC SEGMENTATION REAL-TIME INSTANCE SEGMENTATION REAL-TIME OBJECT DETECTION

AdaptIS: Adaptive Instance Selection Network

ICCV 2019 saic-vul/adaptis

Given an input image and a point $(x, y)$, it generates a mask for the object located at $(x, y)$.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Seamless Scene Segmentation

CVPR 2019 mapillary/seamseg

In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation results.

PANOPTIC SEGMENTATION SCENE SEGMENTATION

Weakly- and Semi-Supervised Panoptic Segmentation

ECCV 2018 qizhuli/Weakly-Supervised-Panoptic-Segmentation

We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION WEAKLY-SUPERVISED PANOPTIC SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation

18 Nov 2019LaoYang1994/SOGNet

In order to overcome the lack of supervision, we introduce a differentiable module to resolve the overlap between any pair of instances.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

Generator evaluator-selector net: a modular approach for panoptic segmentation

24 Aug 2019sagieppel/Generator-evaluator-selector-net-a-modular-approach-for-panoptic-segmentation

The generator/evaluator approach for this case consists of two independent convolutional neural nets: a generator net that suggests variety segments corresponding to objects and distinct regions in the image and an evaluator net that chooses the best segments to be merged into the segmentation map.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION