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 501–525 of 2262 papers

Title	Date	Tasks	Status	Hype	Score
D2Det: Towards High Quality Object Detection and Instance Segmentation	Jun 1, 2020	Instance SegmentationObject	CodeCode Available	1	5
Lidar Panoptic Segmentation in an Open World	Sep 22, 2024	Autonomous VehiclesInstance Segmentation	CodeCode Available	1	5
AISFormer: Amodal Instance Segmentation with Transformer	Oct 12, 2022	Amodal Instance SegmentationDecoder	CodeCode Available	1	5
Long-tail Detection with Effective Class-Margins	Jan 23, 2023	Binary ClassificationInstance Segmentation	CodeCode Available	1	5
JacobiNeRF: NeRF Shaping with Mutual Information Gradients	Apr 1, 2023	Instance SegmentationNeRF	CodeCode Available	1	5
Panoptic Vision-Language Feature Fields	Sep 11, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	1	5
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement	Sep 20, 2021	Image-level Supervised Instance SegmentationInstance Segmentation	CodeCode Available	1	5
DFormer: Diffusion-guided Transformer for Universal Image Segmentation	Jun 6, 2023	DecoderDenoising	CodeCode Available	1	5
ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes	Aug 22, 2024	Instance SegmentationSemantic Segmentation	CodeCode Available	1	5
ISTR: End-to-End Instance Segmentation with Transformers	May 3, 2021	Instance Segmentationobject-detection	CodeCode Available	1	5
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation	Jul 22, 2022	Instance Segmentationobject-detection	CodeCode Available	1	5
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition	Feb 3, 2023	Instance Segmentationobject-detection	CodeCode Available	1	5
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark	Mar 12, 2023	Amodal Instance SegmentationInstance Segmentation	CodeCode Available	1	5
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers	Mar 22, 2022	Clusteringimage-classification	CodeCode Available	1	5
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation	Jan 2, 2023	Caption GenerationInstance Segmentation	CodeCode Available	1	5
3D Instances as 1D Kernels	Jul 15, 2022	3D Instance SegmentationInstance Segmentation	CodeCode Available	1	5
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation	Jul 30, 2020	ClusteringInstance Segmentation	CodeCode Available	1	5
Learning Saliency Propagation for Semi-Supervised Instance Segmentation	Jun 1, 2020	Instance Segmentationobject-detection	CodeCode Available	1	5
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19	Oct 26, 2020	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	1	5
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite images	Jun 4, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1	5
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment	Aug 6, 2024	Instance SegmentationSegmentation	CodeCode Available	1	5
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets	Dec 9, 2022	BenchmarkingClassification	CodeCode Available	1	5
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency	Feb 4, 2021	Instance SegmentationMonocular Depth Estimation	CodeCode Available	1	5
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets	Jul 28, 2024	image-classificationImage Classification	CodeCode Available	1	5
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation	Oct 11, 2022	3D Instance SegmentationInstance Segmentation	CodeCode Available	1	5

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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