SOTAVerified

Semantic Segmentation

Papers

Showing 726750 of 14763 papers

TitleStatusHype
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode2
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded ScenesCode2
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
CNOS: A Strong Baseline for CAD-based Novel Object SegmentationCode2
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D ConvolutionsCode2
Recent Advances in Medical Imaging Segmentation: A SurveyCode2
Deep Snake for Real-Time Instance SegmentationCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse KernelsCode2
ResT V2: Simpler, Faster and StrongerCode2
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse PromptsCode2
Rethinking Patch Dependence for Masked AutoencodersCode2
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot SegmentationCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!Code1
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
Beyond One-to-One: Rethinking the Referring Image SegmentationCode1
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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