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 1951–1975 of 2262 papers

Title	Date	Tasks	Status
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data	Jan 9, 2020	image-classificationImage Classification	—Unverified
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation	Jan 7, 2020	Human Instance SegmentationInstance Segmentation	—Unverified
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation	Jan 6, 2020	3D Instance SegmentationInstance Segmentation	—Unverified
Multi-lane Detection Using Instance Segmentation and Attentive Voting	Jan 1, 2020	Autonomous DrivingDecision Making	—Unverified
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking	Dec 30, 2019	BenchmarkingInstance Segmentation	—Unverified
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation	Dec 29, 2019	graph partitioningInstance Segmentation	—Unverified
Computation Reallocation for Object Detection	Dec 24, 2019	Instance SegmentationNeural Architecture Search	—Unverified
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds	Dec 20, 2019	3D Instance SegmentationClustering	CodeCode Available
Learning a Spatio-Temporal Embedding for Video Instance Segmentation	Dec 19, 2019	Instance SegmentationSemantic Segmentation	CodeCode Available
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts	Dec 15, 2019	DiversityInstance Segmentation	CodeCode Available
Towards Partial Supervision for Generic Object Counting in Natural Scenes	Dec 13, 2019	image-classificationImage Classification	CodeCode Available
Local Context Normalization: Revisiting Local Normalization	Dec 12, 2019	Instance Segmentationobject-detection	CodeCode Available
HistoNet: Predicting size histograms of object instances	Dec 11, 2019	Instance SegmentationObject	CodeCode Available
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation	Dec 11, 2019	Instance SegmentationObject	CodeCode Available
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation	Dec 10, 2019	Instance SegmentationObject	—Unverified
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition	Dec 10, 2019	Instance SegmentationLanguage Modeling	CodeCode Available
Learning to Optimally Segment Point Clouds	Dec 10, 2019	Instance SegmentationSegmentation	—Unverified
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization	Dec 10, 2019	Image ClassificationInstance Segmentation	CodeCode Available
Self-supervised Object Motion and Depth Estimation from Video	Dec 9, 2019	Depth EstimationInstance Segmentation	—Unverified
PolyTransform: Deep Polygon Transformer for Instance Segmentation	Dec 5, 2019	Instance SegmentationSegmentation	CodeCode Available
EmbedMask: Embedding Coupling for One-stage Instance Segmentation	Dec 4, 2019	ClusteringInstance Segmentation	CodeCode Available
Learning Multi-Object Tracking and Segmentation from Automatic Annotations	Dec 4, 2019	Instance SegmentationMulti-Object Tracking	—Unverified
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation	Dec 3, 2019	Foreground SegmentationInstance Segmentation	—Unverified
SAIS: Single-stage Anchor-free Instance Segmentation	Dec 3, 2019	Instance Segmentationregression	—Unverified
YOLACT++: Better Real-time Instance Segmentation	Dec 3, 2019	GPUInstance 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