SOTAVerified

Semantic Segmentation

Papers

Showing 54765500 of 14763 papers

TitleStatusHype
LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic InsightCode0
Extremely Weak Supervised Image-to-Image Translation for Semantic SegmentationCode0
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modulesCode0
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical ImagesCode0
Lung segmentation with NASNet-Large-Decoder NetCode0
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
CloudSegNet: A Deep Network for Nychthemeron Cloud Image SegmentationCode0
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problemsCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
Low-Shot Learning for the Semantic Segmentation of Remote Sensing ImageryCode0
Fractal Calibration for long-tailed object detectionCode0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Low-memory stochastic backpropagation with multi-channel randomized trace estimationCode0
Low-latency Perception in Off-Road Dynamical Low Visibility EnvironmentsCode0
Lucid Data Dreaming for Video Object SegmentationCode0
Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations predictionCode0
A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate AnnotationsCode0
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
Look into Person: Joint Body Parsing & Pose Estimation Network and A New BenchmarkCode0
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human ParsingCode0
Loss-Calibrated Approximate Inference in Bayesian Neural NetworksCode0
Exploring Temporal Information for Improved Video UnderstandingCode0
Exploring Target Representations for Masked AutoencodersCode0
Exploring Spatial Context for 3D Semantic Segmentation of Point CloudsCode0
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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