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 301325 of 2262 papers

TitleStatusHype
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Boundary-preserving Mask R-CNNCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
BoxVIS: Video Instance Segmentation with Box AnnotationsCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Show:102550
← PrevPage 13 of 91Next →

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
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified