SOTAVerified

Semantic Segmentation

Papers

Showing 41264150 of 14763 papers

TitleStatusHype
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
FcaNet: Frequency Channel Attention NetworksCode1
FCCDN: Feature Constraint Network for VHR Image Change DetectionCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic SegmentationCode1
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic UpsamplingCode1
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic SegmentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
FIFO: Learning Fog-invariant Features for Foggy Scene SegmentationCode1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance SegmenterCode1
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous DrivingCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
Lite Vision Transformer with Enhanced Self-AttentionCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street ViewsCode1
Domain Adaptive Semantic Segmentation without Source DataCode1
Bounding Box Tightness Prior for Weakly Supervised Image SegmentationCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
An End-to-End Computer Vision Methodology for Quantitative MetallographyCode1
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot SegmentationCode1
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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