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Semantic Segmentation

Papers

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Showing 301–325 of 14763 papers

TitleStatusHype
A Unified Framework for 3D Scene UnderstandingCode2
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
Context-Aware Video Instance SegmentationCode2
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherCode2
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual PromptsCode2
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse ProcessCode2
The Surprising Effectiveness of Multimodal Large Language Models for Video Moment RetrievalCode2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
SelfReg-UNet: Self-Regularized UNet for Medical Image SegmentationCode2
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
Scaling Efficient Masked Image Modeling on Large Remote Sensing DatasetCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and LanguageCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
Parameter-Inverted Image Pyramid NetworksCode2
U-KAN Makes Strong Backbone for Medical Image Segmentation and GenerationCode2
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized CutCode2
Generative Active Learning for Long-tailed Instance SegmentationCode2
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision TransformerCode2
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic SegmentationCode2
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
Open-Set Domain Adaptation for Semantic SegmentationCode2
Adapting Pre-Trained Vision Models for Novel Instance Detection and SegmentationCode2
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified