SOTAVerified

Semantic Segmentation

Papers

Showing 30763100 of 14763 papers

TitleStatusHype
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Learning Efficient Unsupervised Satellite Image-based Building Damage DetectionCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Augmentation for small object detectionCode1
GazeSAM: What You See is What You SegmentCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
GCtx-UNet: Efficient Network for Medical Image SegmentationCode1
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack DetectorsCode1
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial ImagesCode1
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic SegmentationCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Generalizable Model-agnostic Semantic Segmentation via Target-specific NormalizationCode1
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
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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