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 1001–1050 of 2262 papers

TitleStatusHype
Pixelwise Instance Segmentation with a Dynamically Instantiated NetworkCode0
Explicit Shape Encoding for Real-Time Instance SegmentationCode0
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy ImagesCode0
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRICode0
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
TopoSeg: Topology-Aware Nuclear Instance SegmentationCode0
PatchDCT: Patch Refinement for High Quality Instance SegmentationCode0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
CBNet: A Novel Composite Backbone Network Architecture for Object DetectionCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
EOLO: Embedded Object Segmentation only Look OnceCode0
Partial-Attribution Instance Segmentation for Astronomical Source Detection and DeblendingCode0
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy ImagesCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object UnderstandingCode0
Panoptic-DeepLabCode0
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic SegmentationCode0
Enhancing Generic Segmentation with Learned Region RepresentationsCode0
Enhanced Masked Image Modeling for Analysis of Dental Panoramic RadiographsCode0
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesCode0
Cascade R-CNN: High Quality Object Detection and Instance SegmentationCode0
End-to-end video instance segmentation via spatial-temporal graph neural networksCode0
Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually ImpairedCode0
CARAFE: Content-Aware ReAssembly of FEaturesCode0
AdaContour: Adaptive Contour Descriptor with Hierarchical RepresentationCode0
End-to-End Learned Random Walker for Seeded Image SegmentationCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped AttentionCode0
Actor-Critic Instance SegmentationCode0
EmbedMask: Embedding Coupling for One-stage Instance SegmentationCode0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery VideosCode0
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsCode0
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving SparsityCode0
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask FeaturesCode0
One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-outCode0
Efficient Temporal Action Segmentation via Boundary-aware Query VotingCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
One Step Learning, One Step ReviewCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
A novel Region of Interest Extraction Layer for Instance SegmentationCode0
BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield imagesCode0
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice LossCode0
Object Counting and Instance Segmentation with Image-level SupervisionCode0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
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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