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 501525 of 2262 papers

TitleStatusHype
Improving the Detection of Small Oriented Objects in Aerial ImagesCode1
Graph Relation Distillation for Efficient Biomedical Instance SegmentationCode1
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Multi-scale attention-based instance segmentation for measuring crystals with large size variation0
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage DetectionCode0
ODIN: A Single Model for 2D and 3D SegmentationCode2
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior0
DIOD: Self-Distillation Meets Object DiscoveryCode1
Mudslide: A Universal Nuclear Instance Segmentation Method0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures0
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation0
Unsupervised Universal Image SegmentationCode2
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation0
LISA++: An Improved Baseline for Reasoning Segmentation with Large Language ModelCode4
Semantic-aware SAM for Point-Prompted Instance SegmentationCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and BenchmarkCode1
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessCode2
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes0
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical RepresentationCode1
SAI3D: Segment Any Instance in 3D Scenes0
Show:102550
← PrevPage 21 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
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified