SOTAVerified

Semantic Segmentation

Papers

Showing 9761000 of 14763 papers

TitleStatusHype
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic SegmentationCode1
Automating MedSAM by Learning Prompts with Weak Few-Shot SupervisionCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
X-Prompt: Multi-modal Visual Prompt for Video Object SegmentationCode1
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image SegmentationCode1
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic SegmentationCode1
CAD: Memory Efficient Convolutional Adapter for Segment AnythingCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
The BRAVO Semantic Segmentation Challenge Results in UNCV2024Code1
Lidar Panoptic Segmentation in an Open WorldCode1
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image SegmentationCode1
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided PrototypingCode1
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving ScenariosCode1
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and BenchmarkCode1
MetaFormer and CNN Hybrid Model for Polyp Image SegmentationCode1
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer NetworksCode1
Open-Vocabulary Remote Sensing Image Semantic SegmentationCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
2D Semantic-Guided Semantic Scene CompletionCode1
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image DatasetsCode1
Sam2Rad: A Segmentation Model for Medical Images with Learnable PromptsCode1
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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