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 451475 of 2262 papers

TitleStatusHype
3D Instances as 1D KernelsCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface EstimationCode1
OSFormer: One-Stage Camouflaged Instance Segmentation with TransformersCode1
Segmenting Moving Objects via an Object-Centric Layered RepresentationCode1
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid NetworkCode1
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub RobotCode1
Patch-level Representation Learning for Self-supervised Vision TransformersCode1
RF-Next: Efficient Receptive Field Search for Convolutional Neural NetworksCode1
VITA: Video Instance Segmentation via Object Token AssociationCode1
SHRED: 3D Shape Region Decomposition with Learned Local OperationsCode1
Metrics reloaded: Recommendations for image analysis validationCode1
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural ReparameterizationCode1
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
UniInst: Unique Representation for End-to-End Instance SegmentationCode1
Human Instance Matting via Mutual Guidance and Multi-Instance RefinementCode1
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
Plane Geometry Diagram ParsingCode1
Masked Image Modeling with Denoising ContrastCode1
GRIT: General Robust Image Task BenchmarkCode1
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Modeling Missing Annotations for Incremental Learning in Object DetectionCode1
Interactive Object Segmentation in 3D Point CloudsCode1
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise AffinityCode1
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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