SOTAVerified

Semantic Segmentation

Papers

Showing 901925 of 14763 papers

TitleStatusHype
Entropy-based measure of rock sample heterogeneity derived from micro-CT imagesCode0
Segment Anything for HistopathologyCode2
Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic SegmentationCode1
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures0
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation0
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classificationCode0
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
Integrating Semi-Supervised and Active Learning for Semantic Segmentation0
Medical Semantic Segmentation with Diffusion Pretrain0
Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches0
ContextFormer: Redefining Efficiency in Semantic Segmentation0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation0
RUN: Reversible Unfolding Network for Concealed Object Segmentation0
Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations0
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation ModelsCode3
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation0
Efficient Redundancy Reduction for Open-Vocabulary Semantic SegmentationCode1
3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model0
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference EnginesCode0
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation0
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies0
Point Cloud Upsampling as Statistical Shape Model for Pelvic0
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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