SOTAVerified

Semantic Segmentation

Papers

Showing 801825 of 14763 papers

TitleStatusHype
3D-to-2D Distillation for Indoor Scene ParsingCode1
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped WindowsCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM MicrographsCode1
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic SegmentationCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image SegmentationCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View ImagesCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image SegmentationCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor SegmentationCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task 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
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