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 111–120 of 2262 papers

Title	Date	Tasks	Status	Hype	Score
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models	Aug 11, 2023	Dataset GenerationDecoder	CodeCode Available	2	5
DAMamba: Vision State Space Model with Dynamic Adaptive Scan	Feb 18, 2025	image-classificationImage Classification	CodeCode Available	2	5
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention	Sep 4, 2023	Image ClassificationInstance Segmentation	CodeCode Available	2	5
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes	Jul 16, 2024	Human Instance SegmentationInstance Segmentation	CodeCode Available	2	5
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention	Mar 13, 2023	image-classificationImage Classification	CodeCode Available	2	5
DaViT: Dual Attention Vision Transformers	Apr 7, 2022	Computational EfficiencyImage Classification	CodeCode Available	2	5
PTQ4SAM: Post-Training Quantization for Segment Anything	May 6, 2024	Instance Segmentationobject-detection	CodeCode Available	2	5
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding	Apr 3, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	2	5
Rethinking Patch Dependence for Masked Autoencoders	Jan 25, 2024	DecoderInstance Segmentation	CodeCode Available	2	5
Context Autoencoder for Self-Supervised Representation Learning	Feb 7, 2022	DecoderInstance Segmentation	CodeCode Available	2	5

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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	GLEE-Pro	mask AP	54.2	—	Unverified
9	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified