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 2151–2175 of 2262 papers

Title	Date	Tasks	Status	Hype
Non-local RoIs for Instance Segmentation	Jul 14, 2018	Instance SegmentationSegmentation	—Unverified	0
Dynamic Multimodal Instance Segmentation guided by natural language queries	Jul 6, 2018	Instance SegmentationNatural Language Queries	CodeCode Available	0
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network	Jul 5, 2018	Instance SegmentationSegmentation	—Unverified	0
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products	Jul 5, 2018	Instance SegmentationObject	—Unverified	0
Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation	Jul 4, 2018	Instance SegmentationRobot Navigation	—Unverified	0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation	Jul 3, 2018	Instance SegmentationSemantic Segmentation	—Unverified	0
A Dataset for Lane Instance Segmentation in Urban Environments	Jul 3, 2018	Autonomous VehiclesInstance Segmentation	—Unverified	0
Active Testing: An Efficient and Robust Framework for Estimating Accuracy	Jul 2, 2018	Instance SegmentationMulti-Label Classification	—Unverified	0
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation	Jun 28, 2018	3D Instance SegmentationDeep Learning	—Unverified	0
Learning Instance Segmentation by Interaction	Jun 21, 2018	Instance SegmentationSegmentation	CodeCode Available	0
Instance Search via Instance Level Segmentation and Feature Representation	Jun 10, 2018	Instance SearchInstance Segmentation	—Unverified	0
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks	Jun 6, 2018	Instance SegmentationSegmentation	—Unverified	0
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images	Jun 5, 2018	Colorectal Gland Segmentation:Decision Making	—Unverified	0
Bayesian Semantic Instance Segmentation in Open Set World	Jun 4, 2018	Instance SegmentationObject	—Unverified	0
TernausNetV2: Fully Convolutional Network for Instance Segmentation	Jun 3, 2018	DecoderInstance Segmentation	CodeCode Available	0
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines	Jun 1, 2018	Instance SegmentationPose Estimation	—Unverified	0
Free Supervision From Video Games	Jun 1, 2018	Depth EstimationInstance Segmentation	—Unverified	0
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	0
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning	May 12, 2018	Autonomous DrivingDiversity	CodeCode Available	1
Adapting Mask-RCNN for Automatic Nucleus Segmentation	May 1, 2018	Instance SegmentationObject	—Unverified	0
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation	Apr 24, 2018	Amodal Instance SegmentationData Augmentation	CodeCode Available	0
MVTec D2S: Densely Segmented Supermarket Dataset	Apr 23, 2018	Data AugmentationDiversity	—Unverified	0
DetNet: A Backbone network for Object Detection	Apr 17, 2018	ClassificationGeneral Classification	CodeCode Available	0
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification	Apr 12, 2018	Instance SegmentationSegmentation	CodeCode Available	0
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing	Apr 10, 2018	Autonomous DrivingClustering	CodeCode Available	0

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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