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 11761200 of 2262 papers

TitleStatusHype
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping0
Unsupervised Pre-Training for 3D Leaf Instance Segmentation0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation0
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images0
Multi-scale attention-based instance segmentation for measuring crystals with large size variation0
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage DetectionCode0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures0
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge0
Mudslide: A Universal Nuclear Instance Segmentation Method0
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation0
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation0
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes0
SAI3D: Segment Any Instance in 3D Scenes0
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments0
SAM-guided Graph Cut for 3D Instance Segmentation0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Automated Behavioral Analysis Using Instance SegmentationCode0
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation0
EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation0
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques0
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays0
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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