SOTAVerified

Semantic Segmentation

Papers

Showing 401425 of 14763 papers

TitleStatusHype
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian DecompositionCode2
MF-MOS: A Motion-Focused Model for Moving Object SegmentationCode2
MouSi: Poly-Visual-Expert Vision-Language ModelsCode2
SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion NetworksCode2
Rethinking Patch Dependence for Masked AutoencodersCode2
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
Tyche: Stochastic In-Context Learning for Medical Image SegmentationCode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural CalibrationCode2
Exploring Color Invariance through Image-Level Ensemble LearningCode2
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask InpaintingCode2
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelCode2
UV-SAM: Adapting Segment Anything Model for Urban Village IdentificationCode2
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box PromptsCode2
Adversarial Supervision Makes Layout-to-Image Diffusion Models ThriveCode2
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image SegmentationCode2
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imageryCode2
Seg-metrics: a Python package to compute segmentation metricsCode2
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
ODIN: A Single Model for 2D and 3D SegmentationCode2
ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic SegmentationCode2
MRFS: Mutually Reinforcing Image Fusion and SegmentationCode2
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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