SOTAVerified

Semantic Segmentation

Papers

Showing 81518175 of 14763 papers

TitleStatusHype
Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images0
Coherent Parametric Contours for Interactive Video Object Segmentation0
FCOS: A simple and strong anchor-free object detector0
Coherent Loss: A Generic Framework for Stable Video Segmentation0
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study0
Adversarial Examples on Segmentation Models Can be Easy to Transfer0
FCN+: Global Receptive Convolution Makes FCN Great Again0
3D Distance-color-coded Assessment of PCI Stent Apposition via Deep-learning-based Three-dimensional Multi-object Segmentation0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse0
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data0
SAM^Med: A medical image annotation framework based on large vision model0
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run0
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map0
FBNet: Feature Balance Network for Urban-Scene Segmentation0
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance0
Diversified Dynamic Routing for Vision Tasks0
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation0
Diversity in Machine Learning0
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation0
Maximin affinity learning of image segmentation0
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation0
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation0
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation0
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s0
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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