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SotA/Computer Vision/Instance Segmentation

Instance Segmentation

220 benchmarks2262 papers

Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Benchmarks

Instance Segmentation on COCO minival

mask AP AP50 AP75 APM APS APL GFLOPs Params (M)box AP

Instance Segmentation on COCO test-dev

mask AP AP50 APS APM AP75 APL AP AP@50 AP@75

Instance Segmentation on RefCoCo val

Overall IoU Mean IoU mIoU Precision@0.5 Precision@0.6 Precision@0.7 Precision@0.8 Precision@0.9

Instance Segmentation on RefCOCO+ val

Overall IoU Mean IoU

Instance Segmentation on Refer-YouTube-VOS (2021 public validation)

Instance Segmentation on ScanNet(v2)

mAP @ 50 mAP mAP@25 mRec

Instance Segmentation on RefCOCO+ testA

Overall IoU Mean IoU mIoU

Instance Segmentation on RefCOCO+ test B

Overall IoU Mean IoU mIoU

Instance Segmentation on A2D Sentences

IoU overall IoU mean Precision@0.5 Precision@0.9 Precision@0.6 Precision@0.7 Precision@0.8 AP

Instance Segmentation on LVIS v1.0 val

mask AP mask APr

Instance Segmentation on J-HMDB

Precision@0.5 Precision@0.6 Precision@0.7 Precision@0.8 Precision@0.9 IoU overall IoU mean AP

Instance Segmentation on MSCOCO

mask AP AP50 AP75 APS APL APM Frame (fps)

Instance Segmentation on RefCOCOg-val

Overall IoU Mean IoU IoU mIoU

Instance Segmentation on OCHuman

Instance Segmentation on Cityscapes val

mask AP AP50 AP

Instance Segmentation on DAVIS 2017 (val)

J&F 1st frame J&F Full video J&F score Zero-Shot Transfer

Instance Segmentation on PASCAL VOC 2012 val

mAP@0.5 mAP@0.75 mAP@0.25 mAP@0.7 AP_50 AP_75 mask AP AP_25 AP_70

Instance Segmentation on RefCOCOg-test

Overall IoU Mean IoU mIoU

Instance Segmentation on S3DIS

mPrec mRec AP@50 mAP mCov mWCov mAcc mIoU

Instance Segmentation on ADE20K val

Instance Segmentation on gRefCOCO

Instance Segmentation on RefCOCO testA

Overall IoU Mean IoU mIoU

Instance Segmentation on RefCOCO testB

Overall IoU Mean IoU mIoU

Instance Segmentation on COCO 2017 val

AP AP@50 AP@75 mask AP*mask AP

Instance Segmentation on DAVIS 2016

Instance Segmentation on STPLS3D

Instance Segmentation on SegTrack-v2

Instance Segmentation on ARMBench

Instance Segmentation on FBMS-59

Instance Segmentation on Occluded COCO

Instance Segmentation on PhraseCut

Mean IoU Pr@0.5 Pr@0.7 Pr@0.9

Instance Segmentation on Separated COCO

Instance Segmentation on ObjectsRoom

Instance Segmentation on ScanNet200

mAP mAP@25 mAP@50

Instance Segmentation on ScanNetV2

mAP@0.50 NoC@80

Instance Segmentation on ShapeStacks

Instance Segmentation on TBBR

Average Recall@IoU:0.5-0.95

Instance Segmentation on iSAID

Average Precision

Instance Segmentation on BDD100K val

Instance Segmentation on COCO val (panoptic labels)

Instance Segmentation on NYUDv2-IS

Instance Segmentation on PartNet

Instance Segmentation on RefCOCO

Instance Segmentation on SUN-RGBD-IS

Instance Segmentation on Shelf&Tote Training Dataset

Instance Segmentation on OoDIS

Instance Segmentation on PASCAL VOC 2012

avgAP (mask AP + box AP)boxAP maskAP FLOPs (G)Size (M)Frame (fps)

Instance Segmentation on ReferIt

Overall IoU Mean IoU

Instance Segmentation on ScanNet++

Instance Segmentation on SceneNN

Instance Segmentation on Box-IS

Instance Segmentation on ECSSD

Instance Segmentation on MEIS

FLOPs (G)Frame (fps)Size (M)avgAP (mask AP + box AP)boxAP maskAP

Instance Segmentation on MitoEM

AP75-R-Test AP75-H-Test AP75-R-Val AP75-H-Val

Instance Segmentation on Refer-YouTube-VOS

Mean IoU Precision@0.5 Precision@0.9

Instance Segmentation on UIIS

mAP Prams（M）

Instance Segmentation on UVO

Instance Segmentation on WALT

Instance Segmentation on A2Dre test

Overall IoU Mean IoU

Instance Segmentation on CLEVR-Ref+

Instance Segmentation on COCO

maskAP maskAP50 maskAP75

Instance Segmentation on COCO (Common Objects in Context)

Instance Segmentation on COCO 1% labeled data

Instance Segmentation on COCO val2017

Instance Segmentation on COCO-N Medium

Instance Segmentation on Cityscapes

Instance Segmentation on Cityscapes test

Instance Segmentation on DUTS

Instance Segmentation on G-Ref test A

Instance Segmentation on G-Ref test B

Instance Segmentation on G-Ref val

Instance Segmentation on India Driving Dataset

Instance Segmentation on KINS

Instance Segmentation on KITTI

Instance Segmentation on LDD

Instance Segmentation on LVIS v1.0 test-dev

Instance Segmentation on Leaf Segmentation Challenge

Instance Segmentation on MSCOCO-1k

Instance Segmentation on NYU Depth v2

Instance Segmentation on OCID

Boundary F-measure

Instance Segmentation on Referring Expressions for DAVIS 2016 & 2017

F J J&F 1st frame

Instance Segmentation on ScanNet

Instance Segmentation on ScanNetV1

Instance Segmentation on TexBiG 2022 test

mAP@0.5:0.95:0.05

Instance Segmentation on TexBiG 2023 test

mAP@0.5:0.95:0.05

Instance Segmentation on UAVBillboards

Instance Segmentation on UFBA-425

Instance Segmentation on WISDOM

Instance Segmentation on coco minval

Instance Segmentation on iShape

Instance Segmentation on multi30k_test_2017_mscoco

Instance Segmentation on nuScenes

Instance Segmentation on ClevrTex