SOTAVerified

Semantic Segmentation

Papers

Showing 37013725 of 14763 papers

TitleStatusHype
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
MMDetection: Open MMLab Detection Toolbox and BenchmarkCode1
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor SegmentationCode1
DeiSAM: Segment Anything with Deictic PromptingCode1
DeiT III: Revenge of the ViTCode1
MixSKD: Self-Knowledge Distillation from Mixup for Image RecognitionCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
DETRs with Hybrid MatchingCode1
2D Semantic-Guided Semantic Scene CompletionCode1
MixSearch: Searching for Domain Generalized Medical Image Segmentation ArchitecturesCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object SegmentationCode1
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image SegmentationCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
RankSeg: Adaptive Pixel Classification with Image Category Ranking for SegmentationCode1
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud UnderstandingCode1
MITO: Enabling Non-Line-of-Sight Perception using Millimeter-waves through Real-World Datasets and Simulation ToolsCode1
On the Connection between Local Attention and Dynamic Depth-wise ConvolutionCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
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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