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 226250 of 2262 papers

TitleStatusHype
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation0
Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds0
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
Adapting Segment Anything Model for Unseen Object Instance Segmentation0
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors0
Lidar Panoptic Segmentation in an Open WorldCode1
Foundation Models for Amodal Video Instance Segmentation in Automated DrivingCode0
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
Applications of Knowledge Distillation in Remote Sensing: A Survey0
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?0
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation0
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation0
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory AnnotationsCode0
One missing piece in Vision and Language: A Survey on Comics UnderstandingCode2
Bayesian Self-Training for Semi-Supervised 3D Segmentation0
UNIT: Unsupervised Online Instance Segmentation through Time0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images0
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes0
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
Automatic occlusion removal from 3D maps for maritime situational awareness0
MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of MiceCode1
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation0
Evaluation Study on SAM 2 for Class-agnostic Instance-level SegmentationCode1
MetaFood3D: 3D Food Dataset with Nutrition Values0
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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