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 1001–1025 of 2262 papers

TitleStatusHype
Instance segmentation of buildings using keypoints—0
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation—0
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation—0
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors—0
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices—0
Instance Segmentation of Industrial Point Cloud Data—0
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines—0
Advancing Oyster Phenotype Segmentation with Multi-Network Ensemble and Multi-Scale mechanism—0
Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds—0
Instance Segmentation of Scene Sketches Using Natural Image Priors—0
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN—0
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects—0
Grafting Vision Transformers—0
Instance Segmentation with Cross-Modal Consistency—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
Instance Segmentation with Point Supervision—0
Instance segmentation with the number of clusters incorporated in embedding learning—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
Instance-Specific Feature Propagation for Referring Segmentation—0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments—0
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation—0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation—0
Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment—0
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation—0
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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
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified