SOTAVerified

Semantic Segmentation

Papers

Showing 276300 of 14763 papers

TitleStatusHype
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point CloudsCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Does Image Anonymization Impact Computer Vision Training?Code2
Distribution-Free, Risk-Controlling Prediction SetsCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
Digital Twin Generation from Visual Data: A SurveyCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Diffusion models as plug-and-play priorsCode2
Dilated Neighborhood Attention TransformerCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
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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