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

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Showing 451–500 of 2262 papers

TitleStatusHype
Audio-Visual Instance SegmentationCode1
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
Augmentation for small object detectionCode1
Contextual Transformer Networks for Visual RecognitionCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Continuous Copy-Paste for One-Stage Multi-Object Tracking and SegmentationCode1
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
AugmenTory: A Fast and Flexible Polygon Augmentation LibraryCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Segmenting Known Objects and Unseen Unknowns without Prior KnowledgeCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
ContrastMask: Contrastive Learning to Segment Every ThingCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Human Instance Matting via Mutual Guidance and Multi-Instance RefinementCode1
A Close Look at Spatial Modeling: From Attention to ConvolutionCode1
Co-Scale Conv-Attentional Image TransformersCode1
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021Code1
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point CloudsCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape DescriptorsCode1
MViTv2: Improved Multiscale Vision Transformers for Classification and DetectionCode1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
Crossover Learning for Fast Online Video Instance SegmentationCode1
Cross-View Regularization for Domain Adaptive Panoptic SegmentationCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
Inception Convolution with Efficient Dilation SearchCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Large-batch Optimization for Dense Visual PredictionsCode1
Indoor Panorama Planar 3D Reconstruction via Divide and ConquerCode1
High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error RefinementCode1
LeafMask: Towards Greater Accuracy on Leaf SegmentationCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Instance Consistency Regularization for Semi-Supervised 3D Instance SegmentationCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Learning Object Bounding Boxes for 3D Instance Segmentation on Point CloudsCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8GLEE-Promask AP54.2—Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified