SOTAVerified

Semantic Segmentation

Papers

Showing 2650 of 14763 papers

TitleStatusHype
Faster Segment Anything: Towards Lightweight SAM for Mobile ApplicationsCode5
Infinite Photorealistic Worlds using Procedural GenerationCode5
Track Anything: Segment Anything Meets VideosCode5
Segment AnythingCode5
A ConvNet for the 2020sCode5
Attention on the SphereCode4
Your ViT is Secretly an Image Segmentation ModelCode4
Sonata: Self-Supervised Learning of Reliable Point RepresentationsCode4
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic KernelsCode4
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory TreeCode4
EmbodiedSAM: Online Segment Any 3D Thing in Real TimeCode4
Medical SAM 2: Segment medical images as video via Segment Anything Model 2Code4
PVUW 2024 Challenge on Complex Video Understanding: Methods and ResultsCode4
LSKNet: A Foundation Lightweight Backbone for Remote SensingCode4
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
InstanceDiffusion: Instance-level Control for Image GenerationCode4
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image SegmentationCode4
Scalable 3D Panoptic Segmentation As Superpoint Graph ClusteringCode4
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision ApplicationsCode4
LISA++: An Improved Baseline for Reasoning Segmentation with Large Language ModelCode4
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment AnythingCode4
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and EditingCode4
3D TransUNet: Advancing Medical Image Segmentation through Vision TransformersCode4
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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