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 651675 of 2262 papers

TitleStatusHype
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance SegmentationCode2
Ref-Diff: Zero-shot Referring Image Segmentation with Generative ModelsCode1
CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation0
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation0
Learning to Upsample by Learning to SampleCode1
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning0
VideoCutLER: Surprisingly Simple Unsupervised Video Instance SegmentationCode3
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Segment Anything for Microscopy0
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology0
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes0
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global PixelsCode1
A Unified Query-based Paradigm for Camouflaged Instance SegmentationCode0
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt LearningCode1
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
FoodSAM: Any Food SegmentationCode1
Pseudo-label Alignment for Semi-supervised Instance SegmentationCode1
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone0
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking0
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision0
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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