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 751–775 of 2262 papers

Title	Date	Tasks	Status	Hype
EfficientPS: Efficient Panoptic Segmentation	Apr 5, 2020	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation	Apr 3, 2020	3D Instance SegmentationClustering	CodeCode Available	1
Look-into-Object: Self-supervised Structure Modeling for Object Recognition	Mar 31, 2020	Fine-Grained Image ClassificationImage Recognition	CodeCode Available	1
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective	Mar 25, 2020	Instance Segmentationobject-detection	CodeCode Available	1
Scalable learning for bridging the species gap in image-based plant phenotyping	Mar 24, 2020	Instance SegmentationPlant Phenotyping	CodeCode Available	1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion	Mar 23, 2020	GPUInstance Segmentation	CodeCode Available	1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection	Mar 20, 2020	Instance Segmentationobject-detection	CodeCode Available	1
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos	Mar 18, 2020	Instance SegmentationSemantic Segmentation	CodeCode Available	1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation	Mar 17, 2020	General ClassificationInstance Segmentation	CodeCode Available	1
TACO: Trash Annotations in Context for Litter Detection	Mar 16, 2020	Instance SegmentationSegmentation	CodeCode Available	1
Conditional Convolutions for Instance Segmentation	Mar 12, 2020	Instance SegmentationSegmentation	CodeCode Available	1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds	Mar 11, 2020	Instance SegmentationMulti-Task Learning	CodeCode Available	1
Learning in the Frequency Domain	Feb 27, 2020	channel selectionInstance Segmentation	CodeCode Available	1
Algorithm-hardware Co-design for Deformable Convolution	Feb 19, 2020	image-classificationImage Classification	CodeCode Available	1
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection	Feb 16, 2020	Autonomous DrivingClustering	CodeCode Available	1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images	Feb 15, 2020	Instance SegmentationMedical Image Segmentation	CodeCode Available	1
SpotNet: Self-Attention Multi-Task Network for Object Detection	Feb 13, 2020	Instance SegmentationMulti-Task Learning	CodeCode Available	1
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data	Feb 10, 2020	Instance SegmentationSegmentation	CodeCode Available	1
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders	Feb 7, 2020	DecoderInstance Segmentation	CodeCode Available	1
PatchPerPix for Instance Segmentation	Jan 21, 2020	Instance SegmentationSegmentation	CodeCode Available	1
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation	Jan 2, 2020	GPUInstance Segmentation	CodeCode Available	1
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching	Jan 1, 2020	CPUGPU	CodeCode Available	1
Instance-wise Depth and Motion Learning from Monocular Videos	Dec 19, 2019	Instance SegmentationMonocular Depth Estimation	CodeCode Available	1
PointRend: Image Segmentation as Rendering	Dec 17, 2019	Image SegmentationInstance Segmentation	CodeCode Available	1
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation	Dec 11, 2019	Computed Tomography (CT)Decoder	CodeCode Available	1

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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