SOTAVerified

Segmentation

Papers

Showing 301350 of 13072 papers

TitleStatusHype
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image SegmentationCode2
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic SegmentationCode2
ODIN: A Single Model for 2D and 3D SegmentationCode2
MemSAM: Taming Segment Anything Model for Echocardiography Video SegmentationCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action SegmentationCode2
Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
MRFS: Mutually Reinforcing Image Fusion and SegmentationCode2
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse PromptsCode2
Unsupervised Universal Image SegmentationCode2
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text PromptsCode2
UniRef++: Segment Every Reference Object in Spatial and Temporal SpacesCode2
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentationCode2
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
Polyper: Boundary Sensitive Polyp SegmentationCode2
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical ImageCode2
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and BaselineCode2
PixelLM: Pixel Reasoning with Large Multimodal ModelCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
Universal Segmentation at Arbitrary Granularity with Language InstructionCode2
3D Face Reconstruction with the Geometric Guidance of Facial Part SegmentationCode2
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
Adapter is All You Need for Tuning Visual TasksCode2
OneFormer3D: One Transformer for Unified Point Cloud SegmentationCode2
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Open-Vocabulary Camouflaged Object SegmentationCode2
GLaMM: Pixel Grounding Large Multimodal ModelCode2
Medical Image Segmentation with Domain Adaptation: A SurveyCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union LearningCode2
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
You Only Look at Once for Real-time and Generic Multi-TaskCode2
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental SegmentationCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRICode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
SRFormer: Text Detection Transformer with Incorporated Segmentation and RegressionCode2
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified