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Semantic Segmentation

Papers

Showing 89518975 of 14763 papers

TitleStatusHype
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v30
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model0
Skip-Attention: Improving Vision Transformers by Paying Less Attention0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis0
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection0
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store0
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance0
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation0
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes0
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes0
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation0
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model0
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing0
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation0
SliceMamba with Neural Architecture Search for Medical Image Segmentation0
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty0
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision0
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation0
SLLEN: Semantic-aware Low-light Image Enhancement Network0
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory0
Contour Sparse Representation with SDD Features for Object Recognition0
Slot Based Image Augmentation System for Object Detection0
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images0
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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