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 251300 of 2262 papers

TitleStatusHype
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance SegmentationCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
BoxVIS: Video Instance Segmentation with Box AnnotationsCode1
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
Distilling Knowledge via Knowledge ReviewCode1
DropLoss for Long-Tail Instance SegmentationCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
BoxSnake: Polygonal Instance Segmentation with Box SupervisionCode1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
Active Pointly-Supervised Instance SegmentationCode1
Deep Variational Instance SegmentationCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Active Token MixerCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
3D Mitochondria Instance Segmentation with Spatio-Temporal TransformersCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Boundary-preserving Mask R-CNNCode1
Deep learning approaches to building rooftop thermal bridge detection from aerial imagesCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
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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