SOTAVerified

Semantic Segmentation

Papers

Showing 76017625 of 14763 papers

TitleStatusHype
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
Boosting Video Object Segmentation based on Scale InconsistencyCode0
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification0
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds0
Design equivariant neural networks for 3D point cloud0
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural NetworksCode0
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation0
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being0
Where in the World is this Image? Transformer-based Geo-localization in the WildCode1
Segmentation of kidney stones in endoscopic video feeds0
Two Decades of Colorization and Decolorization for Images and Videos0
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation0
Representation Recycling for Streaming Video AnalysisCode0
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and AlgorithmsCode2
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation0
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationCode2
Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network0
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation0
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation0
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Understanding The Robustness in Vision TransformersCode2
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with SuperpixelsCode1
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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