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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 941–950 of 2262 papers

Title	Date	Tasks	Status	Hype
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework	Dec 20, 2022	Instance SegmentationSegmentation	CodeCode Available	1
Building Height Prediction with Instance Segmentation	Dec 19, 2022	Instance SegmentationPrediction	—Unverified	0
An annotated instance segmentation XXL-CT data-set from a historic airplane	Dec 16, 2022	Instance SegmentationInteractive Segmentation	—Unverified	0
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration	Dec 15, 2022	Depth EstimationInstance Segmentation	—Unverified	0
Unsupervised Object Localization: Observing the Background to Discover Objects	Dec 15, 2022	Instance SegmentationObject	CodeCode Available	1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation	Dec 15, 2022	Instance SegmentationObject	CodeCode Available	1
RTMDet: An Empirical Study of Designing Real-Time Object Detectors	Dec 14, 2022	GPUInstance Segmentation	CodeCode Available	4
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation	Dec 13, 2022	Decoderimage-classification	CodeCode Available	1
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion	Dec 13, 2022	image-classificationImage Classification	—Unverified	0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation	Dec 13, 2022	Instance SegmentationSegmentation	—Unverified	0

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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