HyperAI超神経
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HyperAI超神経

Instance Segmentation On Lvis V1 0 Val

評価指標

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評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
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Paper TitleRepository
ViTDet-H48.136.9Exploring Plain Vision Transformer Backbones for Object Detection
R101-FPN-MaskRCNN-EQLv227.5-Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
SE-R50-FPN-MaskRCNN-APA29.121.6Adaptive Parametric Activation-
FRACAL-SwinS33.627.8Fractal Calibration for long-tailed object detection
DiffusionInst-ResNet5022.3-DiffusionInst: Diffusion Model for Instance Segmentation
SE-R101-FPN-MaskRCNN-APA30.723.6Adaptive Parametric Activation-
DiffusionInst-SwinB36-DiffusionInst: Diffusion Model for Instance Segmentation
ViTDet-L46.034.3Exploring Plain Vision Transformer Backbones for Object Detection
DiffusionInst-SwinL38.6-DiffusionInst: Diffusion Model for Instance Segmentation
GLEE-Pro49.9-General Object Foundation Model for Images and Videos at Scale
R50-FPN-MaskRCNN-GOL27.7-Long-tailed Instance Segmentation using Gumbel Optimized Loss
R101-MaskRCNN-LOCE28-Exploring Classification Equilibrium in Long-Tailed Object Detection-
DiverGen (Swin-L)45.545.8DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
R50-FPN-MaskRCNN-EQLv223.7-Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
CenterNet2 (Swin-L w/ X-Paste + Copy-Paste)45.443.8X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
Eff-B7 NAS-FPN (1280, Copy-Paste pre-training))38.1-Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Co-DETR (single-scale)60.7-DETRs with Collaborative Hybrid Assignments Training
R50-MaskRCNN-LOCE26.6-Exploring Classification Equilibrium in Long-Tailed Object Detection-
HTC-ealrystop-ema50.4-LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation-
Cascade-R101-EQLv228.8-Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
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