SOTAVerified

Semantic Segmentation

Papers

Showing 36513675 of 14763 papers

TitleStatusHype
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
SipMask: Spatial Information Preservation for Fast Image and Video Instance SegmentationCode1
Linear Attention Mechanism: An Efficient Attention for Semantic SegmentationCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic DataCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
Virtual Multi-view Fusion for 3D Semantic SegmentationCode1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
Representation Sharing for Fast Object Detector Search and BeyondCode1
Funnel Activation for Visual RecognitionCode1
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance SegmentationCode1
Deep Variational Instance SegmentationCode1
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical ImagesCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Balanced Meta-Softmax for Long-Tailed Visual RecognitionCode1
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image SegmentationCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Improving Semantic Segmentation via Decoupled Body and Edge SupervisionCode1
Unsupervised Learning of Image Segmentation Based on Differentiable Feature ClusteringCode1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without AnnotationCode1
Learning Gaussian Instance Segmentation in Point CloudsCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene ParsingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified