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 526–550 of 2262 papers

Title	Date	Tasks	Status	Hype	Score
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets	Dec 9, 2022	BenchmarkingClassification	CodeCode Available	1	5
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer	Jan 27, 2022	Decision MakingDocument Layout Analysis	CodeCode Available	1	5
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect	Sep 28, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms	Jul 12, 2021	Instance Segmentationobject-detection	CodeCode Available	1	5
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels	Jul 25, 2024	Cell SegmentationDecoder	CodeCode Available	1	5
Location-Sensitive Visual Recognition with Cross-IOU Loss	Apr 11, 2021	2D Human Pose EstimationInstance Segmentation	CodeCode Available	1	5
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition	Mar 30, 2021	General Classificationimage-classification	CodeCode Available	1	5
Dynamic Convolution for 3D Point Cloud Instance Segmentation	Jul 18, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1	5
LIVECell—A large-scale dataset for label-free live cell segmentation	Aug 30, 2021	Cell SegmentationCultural Vocal Bursts Intensity Prediction	CodeCode Available	1	5
Long-tail Detection with Effective Class-Margins	Jan 23, 2023	Binary ClassificationInstance Segmentation	CodeCode Available	1	5
Long-tailed Distribution Adaptation	Oct 6, 2021	Domain AdaptationInstance Segmentation	CodeCode Available	1	5
Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors	Nov 23, 2023	ClusteringInstance Segmentation	CodeCode Available	1	5
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2	Nov 12, 2021	Deep LearningInstance Segmentation	CodeCode Available	1	5
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation	Mar 16, 2021	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	1	5
LGD: Label-guided Self-distillation for Object Detection	Sep 23, 2021	Instance SegmentationObject	CodeCode Available	1	5
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition	Feb 3, 2023	Instance Segmentationobject-detection	CodeCode Available	1	5
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment	Aug 3, 2023	3D Panoptic SegmentationInstance Segmentation	CodeCode Available	1	5
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning	May 12, 2018	Autonomous DrivingDiversity	CodeCode Available	1	5
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation	Jul 22, 2022	Instance Segmentationobject-detection	CodeCode Available	1	5
3D Indoor Instance Segmentation in an Open-World	Sep 25, 2023	3D Instance SegmentationInstance Segmentation	CodeCode Available	1	5
Distilling Knowledge via Knowledge Review	Apr 19, 2021	Instance SegmentationKnowledge Distillation	CodeCode Available	1	5
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers	Mar 23, 2021	Amodal Instance SegmentationBoundary Detection	CodeCode Available	1	5
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization	Jul 22, 2022	3D Instance Segmentation3D Object Detection	CodeCode Available	1	5
Deep Learning based Food Instance Segmentation using Synthetic Data	Jul 15, 2021	Deep LearningInstance Segmentation	CodeCode Available	1	5
DFormer: Diffusion-guided Transformer for Universal Image Segmentation	Jun 6, 2023	DecoderDenoising	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