SOTAVerified

Semantic Segmentation

Papers

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Showing 3051–3100 of 14763 papers

TitleStatusHype
ChebMixer: Efficient Graph Representation Learning with MLP Mixer—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation—0
TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationCode2
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging—0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System—0
Segment Anything Model for Road Network Graph ExtractionCode3
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images—0
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
Language-Based Depth Hints for Monocular Depth Estimation—0
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting—0
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation—0
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT ScansCode1
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding—0
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive SegmentationCode0
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse KernelsCode2
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion—0
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project—0
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image AnnotationsCode0
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
A Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic SegmentationCode1
WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather—0
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation—0
Analysing Diffusion Segmentation for Medical Images—0
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling—0
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation—0
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference—0
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic SegmentationCode1
PSALM: Pixelwise SegmentAtion with Large Multi-Modal ModelCode3
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild—0
Learning to Project for Cross-Task Knowledge Distillation—0
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion ModelsCode2
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field RobotsCode0
Modeling the Label Distributions for Weakly-Supervised Semantic SegmentationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection—0
Next day fire prediction via semantic segmentation—0
ProMamba: Prompt-Mamba for polyp segmentation—0
Robust image segmentation model based on binary level set—0
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse WeatherCode0
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image TransferCode0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge—0
Reflectivity Is All You Need!: Advancing LiDAR Semantic SegmentationCode1
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified