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 2176–2200 of 2262 papers

Title	Date	Tasks	Status
TernausNetV2: Fully Convolutional Network for Instance Segmentation	Jun 3, 2018	DecoderInstance Segmentation	CodeCode Available
Free Supervision From Video Games	Jun 1, 2018	Depth EstimationInstance Segmentation	—Unverified
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines	Jun 1, 2018	Instance SegmentationPose Estimation	—Unverified
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network	May 26, 2018	Instance SegmentationMulti-Task Learning	—Unverified
Adapting Mask-RCNN for Automatic Nucleus Segmentation	May 1, 2018	Instance SegmentationObject	—Unverified
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation	Apr 24, 2018	Amodal Instance SegmentationData Augmentation	CodeCode Available
MVTec D2S: Densely Segmented Supermarket Dataset	Apr 23, 2018	Data AugmentationDiversity	—Unverified
DetNet: A Backbone network for Object Detection	Apr 17, 2018	ClassificationGeneral Classification	CodeCode Available
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification	Apr 12, 2018	Instance SegmentationSegmentation	CodeCode Available
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing	Apr 10, 2018	Autonomous DrivingClustering	CodeCode Available
Weakly Supervised Instance Segmentation using Class Peak Response	Apr 3, 2018	General ClassificationImage-level Supervised Instance Segmentation	CodeCode Available
Predicting Future Instance Segmentation by Forecasting Convolutional Features	Mar 30, 2018	Instance SegmentationOptical Flow Estimation	CodeCode Available
Pose2Seg: Detection Free Human Instance Segmentation	Mar 28, 2018	2D Human Pose EstimationHuman Instance Segmentation	CodeCode Available
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model	Mar 22, 2018	Instance SegmentationKeypoint Detection	CodeCode Available
Learning to Cluster for Proposal-Free Instance Segmentation	Mar 17, 2018	Autonomous DrivingClustering	CodeCode Available
Learning deep structured active contours end-to-end	Mar 16, 2018	Instance SegmentationSegmentation	CodeCode Available
Learning to Segment via Cut-and-Paste	Mar 16, 2018	Instance SegmentationObject	CodeCode Available
Pseudo Mask Augmented Object Detection	Mar 15, 2018	Instance SegmentationObject	—Unverified
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network	Feb 28, 2018	Instance SegmentationSemantic Segmentation	CodeCode Available
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image	Feb 28, 2018	BenchmarkingInstance Segmentation	—Unverified
Towards End-to-End Lane Detection: an Instance Segmentation Approach	Feb 15, 2018	Instance SegmentationLane Detection	CodeCode Available
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters	Feb 1, 2018	Instance SegmentationOne-Shot Learning	—Unverified
SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain Adaptation	Jan 26, 2018	Domain AdaptationInstance Segmentation	CodeCode Available
PixelLink: Detecting Scene Text via Instance Segmentation	Jan 4, 2018	Instance Segmentationregression	CodeCode Available
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network	Jan 4, 2018	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