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
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
Contextual Transformer Networks for Visual RecognitionCode1
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionCode1
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
A Close Look at Spatial Modeling: From Attention to ConvolutionCode1
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
Contrastive Object-level Pre-training with Spatial Noise Curriculum LearningCode1
ContrastMask: Contrastive Learning to Segment Every ThingCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
AggMask: Exploring locally aggregated learning of mask representations for 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
AutoFocusFormer: Image Segmentation off the GridCode1
Co-Scale Conv-Attentional Image TransformersCode1
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Occluded Video Instance Segmentation: A BenchmarkCode1
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021Code1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Implicit Feature Refinement for Instance SegmentationCode1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
Learning Equivariant Segmentation with Instance-Unique QueryingCode1
Cross-View Regularization for Domain Adaptive Panoptic SegmentationCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
Improving Convolutional Networks With Self-Calibrated ConvolutionsCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological ImagesCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
Improving Video Instance Segmentation via Temporal Pyramid RoutingCode1
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial ImagesCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
Indoor Panorama Planar 3D Reconstruction via Divide and ConquerCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
OoDIS: Anomaly Instance Segmentation BenchmarkCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Deep Variational Instance SegmentationCode1
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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