SOTAVerified

Semantic Segmentation

Papers

Showing 61766200 of 14763 papers

TitleStatusHype
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy LearningCode0
Efficient semantic image segmentation with superpixel poolingCode0
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationCode0
A Novel Adaptive Deep Network for Building Footprint SegmentationCode0
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral LatticesCode0
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable AttentionCode0
Efficient Segmentation with Texture in Ore Images Based on Box-supervised ApproachCode0
Efficient Segmentation: Learning Downsampling Near Semantic BoundariesCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive ClassifierCode0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on AttentionCode0
Large-scale image segmentation based on distributed clustering algorithmsCode0
Large Scale Correlation Clustering OptimizationCode0
Large-Scale Electron Microscopy Image Segmentation in SparkCode0
Large-scale Point Cloud Semantic Segmentation with Superpoint GraphsCode0
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its DeploymentCode0
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D ImagesCode0
Laplacian Segmentation Networks Improve Epistemic Uncertainty QuantificationCode0
Laplacian Pyramid Reconstruction and Refinement for Semantic SegmentationCode0
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labelingCode0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
Language-Based Image Editing with Recurrent Attentive ModelsCode0
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory RequirementsCode0
Evolving Knowledge Mining for Class Incremental 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
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