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 1376–1400 of 2262 papers

Title	Date	Tasks	Status
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping	Mar 20, 2023	DecoderInstance Segmentation	CodeCode Available
Panoptic One-Click Segmentation: Applied to Agricultural Data	Mar 15, 2023	Instance SegmentationSegmentation	—Unverified
OSIS: Efficient One-stage Network for 3D Instance Segmentation	Mar 13, 2023	3D Instance SegmentationClustering	—Unverified
Towards Universal Vision-language Omni-supervised Segmentation	Mar 12, 2023	Instance Segmentationobject-detection	—Unverified
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast	Mar 11, 2023	3D Semantic SegmentationContrastive Learning	—Unverified
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation	Mar 10, 2023	Continual LearningIncremental Learning	—Unverified
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision	Mar 9, 2023	Instance SegmentationOpen-World Instance Segmentation	—Unverified
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation	Mar 9, 2023	Few-shot Instance SegmentationFew-Shot Learning	CodeCode Available
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods	Mar 8, 2023	AstronomyComputational Efficiency	—Unverified
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors	Mar 7, 2023	Instance SegmentationSelf-Supervised Learning	—Unverified
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection	Mar 3, 2023	3D Object DetectionInstance Segmentation	—Unverified
Bayesian Deep Learning for Affordance Segmentation in images	Mar 2, 2023	AttributeDeep Learning	—Unverified
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions	Mar 1, 2023	Instance SegmentationNuclei Classification	CodeCode Available
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction	Mar 1, 2023	Instance SegmentationPrediction	—Unverified
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors	Feb 28, 2023	Contrastive LearningInstance Segmentation	—Unverified
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection	Feb 28, 2023	Change DetectionInstance Segmentation	—Unverified
Category-level Shape Estimation for Densely Cluttered Objects	Feb 23, 2023	Instance SegmentationObject	—Unverified
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation	Feb 20, 2023	Instance SegmentationSemantic Segmentation	—Unverified
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering	Feb 19, 2023	Image SegmentationInstance Segmentation	—Unverified
Offline-to-Online Knowledge Distillation for Video Instance Segmentation	Feb 15, 2023	Data AugmentationInstance Segmentation	—Unverified
PUPS: Point Cloud Unified Panoptic Segmentation	Feb 13, 2023	DecoderInstance Segmentation	—Unverified
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel	Feb 8, 2023	Instance SegmentationSegmentation	—Unverified
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants	Feb 7, 2023	Instance SegmentationSegmentation	—Unverified
PatchDCT: Patch Refinement for High Quality Instance Segmentation	Feb 6, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available
Top-Down Beats Bottom-Up in 3D Instance Segmentation	Feb 6, 2023	3D Instance SegmentationInstance 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