SOTAVerified

Semantic Segmentation

Papers

Showing 576600 of 14763 papers

TitleStatusHype
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic SegmentationCode2
A large annotated medical image dataset for the development and evaluation of segmentation algorithmsCode2
AiTLAS: Artificial Intelligence Toolbox for Earth ObservationCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
DDP: Diffusion Model for Dense Visual PredictionCode2
Deep Incubation: Training Large Models by Divide-and-ConqueringCode2
Fast Vision Transformers with HiLo AttentionCode2
Cross Language Image Matching for Weakly Supervised Semantic SegmentationCode2
Cross-Image Relational Knowledge Distillation for Semantic SegmentationCode2
Feature Pyramid Networks for Object DetectionCode2
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
Frequency-Adaptive Dilated Convolution for Semantic SegmentationCode2
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic SegmentationCode2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
Fully Convolutional Instance-aware Semantic SegmentationCode2
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode2
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded ScenesCode2
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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