Instance Segmentation

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

Papers

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Showing 981–990 of 2262 papers

Title	Date	Tasks	Status
Learning Shape-Aware Embedding for Scene Text Detection	Jun 1, 2019	Instance SegmentationScene Text Detection	—Unverified
Learning to decompose for object detection and instance segmentation	Nov 19, 2015	Instance SegmentationObject	—Unverified
Concatenated Feature Pyramid Network for Instance Segmentation	Mar 16, 2019	Instance Segmentationobject-detection	—Unverified
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks	Jun 6, 2018	Instance SegmentationSegmentation	—Unverified
Curriculum Learning with Diversity for Supervised Computer Vision Tasks	Sep 22, 2020	DiversityInstance Segmentation	—Unverified
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking	Aug 10, 2023	6D Pose EstimationInstance Segmentation	—Unverified
Computer Vision Pipeline for Automated Antarctic Krill Analysis	Sep 12, 2023	image-classificationImage Classification	—Unverified
Instance Segmentation based Semantic Matting for Compositing Applications	Apr 10, 2019	Image MattingInstance Segmentation	—Unverified
Guided Table Structure Recognition through Anchor Optimization	Apr 21, 2021	Instance Segmentationobject-detection	—Unverified
Computation Reallocation for Object Detection	Dec 24, 2019	Instance SegmentationNeural Architecture Search	—Unverified

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All datasets COCO test-dev COCO minival LVIS v1.0 val Cityscapes val ADE20K val ARMBench Occluded COCO OoDIS Separated COCO TBBR BDD100K val COCO val (panoptic labels)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	InternImage-H	AP50	80.8	—	Unverified
2	ResNeSt-200 (multi-scale)	AP50	70.2	—	Unverified
3	CenterMask + VoVNetV2-99 (multi-scale)	AP50	66.2	—	Unverified
4	CenterMask + VoVNetV2-57 (single-scale)	AP50	60.8	—	Unverified
5	Co-DETR	mask AP	57.1	—	Unverified
6	CBNetV2 (EVA02, single-scale)	mask AP	56.1	—	Unverified
7	ISDA (ResNet-50)	APL	55.7	—	Unverified
8	EVA	mask AP	55.5	—	Unverified
9	FD-SwinV2-G	mask AP	55.4	—	Unverified
10	Mask Frozen-DETR	mask AP	55.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InternImage-B	GFLOPs	501	—	Unverified
2	Co-DETR	mask AP	56.6	—	Unverified
3	ViT-CoMer-L (Mask RCNN, DINOv2)	mask AP	55.9	—	Unverified
4	InternImage-H	mask AP	55.4	—	Unverified
5	EVA	mask AP	55	—	Unverified
6	Mask Frozen-DETR	mask AP	54.9	—	Unverified
7	MasK DINO (SwinL, multi-scale)	mask AP	54.5	—	Unverified
8	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
9	GLEE-Pro	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified