SOTAVerified

Semantic Segmentation

Papers

Showing 10511075 of 14763 papers

TitleStatusHype
Semantic Segmentation for Sequential Historical Maps by Learning from Only One Map0
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training0
Merging Context Clustering with Visual State Space Models for Medical Image SegmentationCode2
A Multi-task Supervised Compression Model for Split ComputingCode0
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images0
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss FunctionCode1
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction0
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation0
EntitySAM: Segment Everything in Video0
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image SegmentationCode1
Relation3D : Enhancing Relation Modeling for Point Cloud Instance SegmentationCode1
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation0
Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space ModelsCode1
WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels0
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space0
SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation0
Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature SpaceCode0
Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation0
Advancing Manga Analysis: Comprehensive Segmentation Annotations for the Manga109 Dataset0
Take the Bull by the Horns: Learning to Segment Hard SamplesCode0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation0
Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation0
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape MatchingCode0
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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