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 2101–2125 of 2262 papers

Title	Date	Tasks	Status
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation	Feb 14, 2019	3D Instance Segmentation3D Semantic Instance Segmentation	—Unverified
DeeperLab: Single-Shot Image Parser	Feb 13, 2019	GPUInstance Segmentation	—Unverified
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation	Feb 12, 2019	3D Instance SegmentationClustering	CodeCode Available
Towards Segmenting Anything That Moves	Feb 11, 2019	Action DetectionInstance Segmentation	CodeCode Available
Single Network Panoptic Segmentation for Street Scene Understanding	Feb 7, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available
Instance Segmentation as Image Segmentation Annotation	Feb 1, 2019	DecoderImage Segmentation	CodeCode Available
US-net for robust and efficient nuclei instance segmentation	Jan 31, 2019	Instance SegmentationSegmentation	—Unverified
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images	Jan 31, 2019	Electron Microscopy Image SegmentationImage Segmentation	—Unverified
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications	Jan 30, 2019	Instance SegmentationSemantic Segmentation	—Unverified
4D Generic Video Object Proposals	Jan 26, 2019	Instance SegmentationObject	CodeCode Available
Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation	Jan 16, 2019	Instance SegmentationSemantic Segmentation	—Unverified
UPSNet: A Unified Panoptic Segmentation Network	Jan 12, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning	Jan 4, 2019	3D Instance SegmentationClustering	—Unverified
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation	Dec 19, 2018	Instance SegmentationObject	—Unverified
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans	Dec 17, 2018	3D Instance Segmentation3D Object Detection	CodeCode Available
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation	Dec 13, 2018	Instance SegmentationObject	—Unverified
Weakly Supervised Instance Segmentation Using Hybrid Network	Dec 12, 2018	Image SegmentationInstance Segmentation	—Unverified
Scale-aware multi-level guidance for interactive instance segmentation	Dec 7, 2018	Instance SegmentationInteractive Segmentation	—Unverified
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding	Dec 6, 2018	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics	Dec 4, 2018	ClusteringGeneral Classification	—Unverified
Learning to Fuse Things and Stuff	Dec 4, 2018	Instance SegmentationPanoptic Segmentation	—Unverified
Beyond Grids: Learning Graph Representations for Visual Recognition	Dec 1, 2018	Instance Segmentationobject-detection	—Unverified
TextMountain: Accurate Scene Text Detection via Instance Segmentation	Nov 30, 2018	Binary ClassificationInstance Segmentation	—Unverified
CCNet: Criss-Cross Attention for Semantic Segmentation	Nov 28, 2018	Computational EfficiencyGPU	CodeCode Available
Affinity Derivation and Graph Merge for Instance Segmentation	Nov 27, 2018	Instance SegmentationSemantic Segmentation	CodeCode Available

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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