SOTAVerified

Semantic Segmentation

Papers

Showing 16011625 of 14763 papers

TitleStatusHype
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkCode1
SurgicalSAM: Efficient Class Promptable Surgical Instrument SegmentationCode1
DSAT-Net: Dual Spatial Attention Transformer for Building Extraction from Aerial ImagesCode1
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global PixelsCode1
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Self-Prompting Large Vision Models for Few-Shot Medical Image SegmentationCode1
EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene ParsingCode1
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
Isomer: Isomerous Transformer for Zero-shot Video Object SegmentationCode1
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?Code1
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt LearningCode1
FoodSAM: Any Food SegmentationCode1
Masked Diffusion as Self-supervised Representation LearnerCode1
Pseudo-label Alignment for Semi-supervised Instance SegmentationCode1
Unsupervised Camouflaged Object Segmentation as Domain AdaptationCode1
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic SegmentationCode1
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic SegmentationCode1
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light VisionCode1
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic SegmentationCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and SegmentationCode1
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware AlignmentCode1
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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