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 2026–2050 of 2262 papers

Title	Date	Tasks	Status
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting	Aug 21, 2019	Data AugmentationInstance Segmentation	CodeCode Available
Instance Scale Normalization for image understanding	Aug 20, 2019	Instance SegmentationObject	—Unverified
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation	Aug 19, 2019	Cell SegmentationInstance Segmentation	CodeCode Available
Explicit Shape Encoding for Real-Time Instance Segmentation	Aug 12, 2019	Instance SegmentationObject	CodeCode Available
Attentive Normalization	Aug 4, 2019	Image ClassificationInstance Segmentation	CodeCode Available
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation	Jul 30, 2019	Instance SegmentationObject	—Unverified
Grape detection, segmentation and tracking using deep neural networks and three-dimensional association	Jul 26, 2019	Instance SegmentationSegmentation	CodeCode Available
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation	Jul 26, 2019	Breast Cancer DetectionInstance Segmentation	—Unverified
Object as Distribution	Jul 25, 2019	Autonomous DrivingInstance Segmentation	—Unverified
U4D: Unsupervised 4D Dynamic Scene Understanding	Jul 23, 2019	3D Pose EstimationInstance Segmentation	—Unverified
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM	Jul 22, 2019	2D Object DetectionInstance Segmentation	—Unverified
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes	Jul 22, 2019	Cell SegmentationInstance Segmentation	CodeCode Available
Human Extraction and Scene Transition utilizing Mask R-CNN	Jul 20, 2019	Instance Segmentationobject-detection	—Unverified
Slot Based Image Augmentation System for Object Detection	Jul 19, 2019	Deep LearningImage Augmentation	—Unverified
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming	Jul 17, 2019	Autonomous DrivingBenchmarking	CodeCode Available
MaskPlus: Improving Mask Generation for Instance Segmentation	Jul 15, 2019	Instance SegmentationSegmentation	—Unverified
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time	Jul 5, 2019	ClusteringGPU	CodeCode Available
Where are the Masks: Instance Segmentation with Image-level Supervision	Jul 2, 2019	Image-level Supervised Instance SegmentationInstance Segmentation	CodeCode Available
GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation	Jun 27, 2019	Clusteringgraph partitioning	—Unverified
Cascade R-CNN: High Quality Object Detection and Instance Segmentation	Jun 24, 2019	Instance Segmentationobject-detection	CodeCode Available
3D Instance Segmentation via Multi-Task Metric Learning	Jun 20, 2019	3D Instance Segmentation3D Reconstruction	—Unverified
Automated crater shape retrieval using weakly-supervised deep learning	Jun 20, 2019	Deep LearningInstance Segmentation	CodeCode Available
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image	Jun 18, 2019	Boundary DetectionDecoder	—Unverified
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things	Jun 15, 2019	Instance SegmentationScene Segmentation	—Unverified
Instance Segmentation with Point Supervision	Jun 14, 2019	Instance SegmentationObject	—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