SOTAVerified

Semantic Segmentation

Papers

Showing 576600 of 14763 papers

TitleStatusHype
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
DDP: Diffusion Model for Dense Visual PredictionCode2
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-SupervisionCode2
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise OptimizationCode2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Dataset QuantizationCode2
ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingCode2
DaViT: Dual Attention Vision TransformersCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
DeCLIP: Decoupled Learning for Open-Vocabulary Dense PerceptionCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded ScenesCode2
ASAM: Boosting Segment Anything Model with Adversarial TuningCode2
Cross Language Image Matching for Weakly Supervised Semantic SegmentationCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
Cross-Image Relational Knowledge Distillation for Semantic SegmentationCode2
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
DAMamba: Vision State Space Model with Dynamic Adaptive ScanCode2
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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