SOTAVerified

Semantic Segmentation

Papers

Showing 23762400 of 14763 papers

TitleStatusHype
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Contrastive Multimodal Fusion with TupleInfoNCECode1
CGA-Net: Category Guided Aggregation for Point Cloud Semantic SegmentationCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Contrastive Object-level Pre-training with Spatial Noise Curriculum LearningCode1
CAR: Class-aware Regularizations for Semantic SegmentationCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
Change-Aware Siamese Network for Surface Defects Segmentation under Complex BackgroundCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor EnvironmentsCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Channel Exchanging Networks for Multimodal and Multitask Dense Image PredictionCode1
Channel prior convolutional attention for medical image segmentationCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Channel-wise Knowledge Distillation for Dense PredictionCode1
APNet: Urban-level Scene Segmentation of Aerial Images and Point CloudsCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSCode1
Show:102550
← PrevPage 96 of 591Next →

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