SOTAVerified

Semantic Segmentation

Papers

Showing 46764700 of 14763 papers

TitleStatusHype
Decoupled Deep Neural Network for Semi-supervised Semantic SegmentationCode0
Multi Kernel Estimation based Object SegmentationCode0
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationCode0
Automatic Segmentation of the Spinal Cord Nerve RootletsCode0
Multigrid Neural ArchitecturesCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Multi-encoder parse-decoder network for sequential medical image segmentationCode0
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural RepresentationsCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Multi-Dimensional Recurrent Neural NetworksCode0
Multi-domain semantic segmentation with overlapping labelsCode0
Multi-label Cloud Segmentation Using a Deep NetworkCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERTCode0
Deblending galaxy superpositions with branched generative adversarial networksCode0
DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic SegmentationCode0
Multichannel Semantic Segmentation with Unsupervised Domain AdaptationCode0
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the DecoderCode0
DDSL: Deep Differentiable Simplex Layer for Learning Geometric SignalsCode0
DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image SegmentationCode0
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud SegmentationCode0
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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