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 2076–2100 of 2262 papers

Title	Date	Tasks	Status	Hype
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument	Feb 24, 2019	Data AugmentationDecoder	CodeCode Available	0
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement	Feb 20, 2019	Instance SegmentationSemantic Segmentation	—Unverified	0
Augmentation for small object detection	Feb 19, 2019	Instance SegmentationObject	CodeCode Available	1
PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation	Feb 18, 2019	3D Instance SegmentationInstance Segmentation	—Unverified	0
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	0
DeeperLab: Single-Shot Image Parser	Feb 13, 2019	GPUInstance Segmentation	—Unverified	0
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation	Feb 12, 2019	3D Instance SegmentationClustering	CodeCode Available	0
Towards Segmenting Anything That Moves	Feb 11, 2019	Action DetectionInstance Segmentation	CodeCode Available	0
Single Network Panoptic Segmentation for Street Scene Understanding	Feb 7, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available	0
Instance Segmentation as Image Segmentation Annotation	Feb 1, 2019	DecoderImage Segmentation	CodeCode Available	0
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images	Jan 31, 2019	Electron Microscopy Image SegmentationImage Segmentation	—Unverified	0
US-net for robust and efficient nuclei instance segmentation	Jan 31, 2019	Instance SegmentationSegmentation	—Unverified	0
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications	Jan 30, 2019	Instance SegmentationSemantic Segmentation	—Unverified	0
4D Generic Video Object Proposals	Jan 26, 2019	Instance SegmentationObject	CodeCode Available	0
Hybrid Task Cascade for Instance Segmentation	Jan 22, 2019	Instance Segmentationobject-detection	CodeCode Available	1
Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation	Jan 16, 2019	Instance SegmentationSemantic Segmentation	—Unverified	0
UPSNet: A Unified Panoptic Segmentation Network	Jan 12, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available	0
Panoptic Feature Pyramid Networks	Jan 8, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available	4
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning	Jan 4, 2019	3D Instance SegmentationClustering	—Unverified	0
Slimmable Neural Networks	Dec 21, 2018	Instance SegmentationKeypoint Detection	CodeCode Available	1
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation	Dec 19, 2018	Instance SegmentationObject	—Unverified	0
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM	Dec 19, 2018	CPUInstance Segmentation	CodeCode Available	1
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans	Dec 17, 2018	3D Instance Segmentation3D Object Detection	CodeCode Available	0
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation	Dec 13, 2018	Instance SegmentationObject	—Unverified	0
Weakly Supervised Instance Segmentation Using Hybrid Network	Dec 12, 2018	Image SegmentationInstance Segmentation	—Unverified	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	GLEE-Pro	mask AP	54.2	—	Unverified
9	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified