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

Showing 10261050 of 2262 papers

TitleStatusHype
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation0
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction0
Global Motion Understanding in Large-Scale Video Object Segmentation0
Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation0
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing0
A Survey on Instance Segmentation: State of the art0
Advancing Manga Analysis: Comprehensive Segmentation Annotations for the Manga109 Dataset0
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images0
Gland Instance Segmentation Using Deep Multichannel Neural Networks0
Gland Instance Segmentation by Deep Multichannel Neural Networks0
Gland Instance Segmentation by Deep Multichannel Side Supervision0
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation0
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification0
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation0
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards0
Geometric Image Synthesis0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention0
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation0
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation0
Gen-n-Val: Agentic Image Data Generation and Validation0
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector0
Generic Perceptual Loss for Modeling Structured Output Dependencies0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified