SOTAVerified

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 601–650 of 2262 papers

TitleStatusHype
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological ImagesCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei SegmentationCode1
Occluded Video Instance Segmentation: A BenchmarkCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance SegmenterCode1
Global Aggregation then Local Distribution in Fully Convolutional NetworksCode1
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter ScaleCode1
End-to-End Video Instance Segmentation with TransformersCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy ImagesCode1
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological ImagesCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
Deep learning approaches to building rooftop thermal bridge detection from aerial imagesCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
Boundary-preserving Mask R-CNNCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Graph Relation Distillation for Efficient Biomedical Instance SegmentationCode1
Embedding-based Instance Segmentation in MicroscopyCode1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
ELSA: Enhanced Local Self-Attention for Vision TransformerCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
Hard Negative Mixing for Contrastive LearningCode1
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature FusionCode1
DropLoss for Long-Tail Instance SegmentationCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore ModelingCode1
Hi4D: 4D Instance Segmentation of Close Human InteractionCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic ConvolutionCode1
DynaMask: Dynamic Mask Selection for Instance SegmentationCode1
Dynamic Convolution for 3D Point Cloud Instance SegmentationCode1
BARS: A Benchmark for Airport Runway SegmentationCode1
Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance SegmentationCode1
Non-local Neural NetworksCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR DataCode1
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
Eigencontours: Novel Contour Descriptors Based on Low-Rank ApproximationCode1
End-to-End Human Instance MattingCode1
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified