SOTAVerified

Semantic Segmentation

Papers

Showing 28012825 of 14763 papers

TitleStatusHype
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationCode1
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic SegmentationCode1
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic SegmentationCode1
A Strong Baseline for Generalized Few-Shot Semantic SegmentationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain DataCode1
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutionsCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
Invariant Information Clustering for Unsupervised Image Classification and SegmentationCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
Enhancing Organ at Risk Segmentation with Improved Deep Neural NetworksCode1
Addressing Failure Detection by Learning Model ConfidenceCode1
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic SegmentationCode1
Intriguing Properties of Vision TransformersCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
InverseForm: A Loss Function for Structured Boundary-Aware SegmentationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
A survey of loss functions for semantic segmentationCode1
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRICode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
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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