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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2126–2150 of 2262 papers

Title	Date	Tasks	Status
GANtruth - an unpaired image-to-image translation method for driving scenarios	Nov 26, 2018	DiversityDomain Adaptation	—Unverified
Non-local RoI for Cross-Object Perception	Nov 25, 2018	Instance SegmentationObject	—Unverified
A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation	Nov 24, 2018	Image CaptioningInstance Segmentation	—Unverified
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization	Nov 23, 2018	General Classificationimage-classification	—Unverified
Scene Text Detection with Supervised Pyramid Context Network	Nov 21, 2018	DiversityInstance Segmentation	CodeCode Available
Rethinking ImageNet Pre-training	Nov 21, 2018	Instance Segmentationobject-detection	—Unverified
Slum Segmentation and Change Detection : A Deep Learning Approach	Nov 19, 2018	Change DetectionDeep Learning	CodeCode Available
Domain Randomization for Scene-Specific Car Detection and Pose Estimation	Nov 14, 2018	3D Pose EstimationInstance Segmentation	CodeCode Available
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN	Nov 12, 2018	Autonomous DrivingClassification	CodeCode Available
Learning Segmentation Masks with the Independence Prior	Nov 12, 2018	Foreground SegmentationInstance Segmentation	—Unverified
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data	Nov 8, 2018	Instance SegmentationSegmentation	—Unverified
Rain Removal in Traffic Surveillance: Does it Matter?	Oct 30, 2018	Instance SegmentationRain Removal	CodeCode Available
Mask Propagation Network for Video Object Segmentation	Oct 24, 2018	Instance SegmentationObject	—Unverified
Investigating Object Compositionality in Generative Adversarial Networks	Oct 17, 2018	Image GenerationInductive Bias	—Unverified
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images	Oct 16, 2018	Cell SegmentationInstance Segmentation	—Unverified
BshapeNet: Object Detection and Instance Segmentation with Bounding Shape Masks	Oct 15, 2018	Instance SegmentationObject	—Unverified
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks	Sep 22, 2018	Instance Segmentationobject-detection	—Unverified
Faster Training of Mask R-CNN by Focusing on Instance Boundaries	Sep 19, 2018	Edge DetectionInstance Segmentation	CodeCode Available
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data	Sep 16, 2018	ClusteringDataset Generation	CodeCode Available
Robust Adversarial Perturbation on Deep Proposal-based Models	Sep 16, 2018	Instance SegmentationRegion Proposal	—Unverified
Geometric Image Synthesis	Sep 12, 2018	Image GenerationInstance Segmentation	—Unverified
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information	Sep 9, 2018	ClusteringDepth Estimation	—Unverified
On the Importance of Visual Context for Data Augmentation in Scene Understanding	Sep 6, 2018	Data AugmentationInstance Segmentation	—Unverified
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network	Sep 6, 2018	Instance SegmentationPanoptic Segmentation	—Unverified
WildDash - Creating Hazard-Aware Benchmarks	Sep 1, 2018	Instance SegmentationSemantic Segmentation	—Unverified

Show:10 25 50

← PrevPage 86 of 91Next →

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