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 20762100 of 2262 papers

TitleStatusHype
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous DrivingCode0
SCD: A Stacked Carton Dataset for Detection and SegmentationCode0
Object Counting and Instance Segmentation with Image-level SupervisionCode0
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic GraspingCode0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground TruthCode0
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesCode0
Scene Text Detection with Supervised Pyramid Context NetworkCode0
End-to-end video instance segmentation via spatial-temporal graph neural networksCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance SegmentationCode0
NOCTIS: Novel Object Cyclic Threshold based Instance SegmentationCode0
End-to-End Learned Random Walker for Seeded Image SegmentationCode0
BERTgrid: Contextualized Embedding for 2D Document Representation and UnderstandingCode0
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is ComingCode0
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed LearningCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide ImagesCode0
EmbedMask: Embedding Coupling for One-stage Instance SegmentationCode0
Towards End-to-End Lane Detection: an Instance Segmentation ApproachCode0
EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery VideosCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
A Benchmark of Long-tailed Instance Segmentation with Noisy LabelsCode0
Benchmarking Label Noise in Instance Segmentation: Spatial Noise MattersCode0
A MultiPath Network for Object DetectionCode0
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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