SOTAVerified

Semantic Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1675 of 14763 papers

TitleStatusHype
Bridge the Points: Graph-based Few-shot Segment Anything SemanticallyCode1
Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy—0
Guided Self-attention: Find the Generalized Necessarily Distinct Vectors for Grain Size Grading—0
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal ModelCode2
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA FiltersCode1
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts—0
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
On Efficient Variants of Segment Anything Model: A Survey—0
A Simple Image Segmentation Framework via In-Context ExamplesCode2
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
A Mathematical Explanation of UNet—0
Optimizing Medical Image Segmentation with Advanced Decoder DesignCode0
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic SegmentationCode0
SpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2Code0
Conformal confidence sets for biomedical image segmentation—0
HRVMamba: High-Resolution Visual State Space Model for Dense PredictionCode0
Semantic Segmentation Based Quality Control of Histopathology Whole Slide ImagesCode0
Not All Diffusion Model Activations Have Been Evaluated as Discriminative FeaturesCode1
Med-TTT: Vision Test-Time Training model for Medical Image SegmentationCode1
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images—0
Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images—0
Show:102550
← PrevPage 67 of 591Next →
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