SOTAVerified

Semantic Segmentation

Papers

Showing 1470114750 of 14763 papers

TitleStatusHype
The Ikshana Hypothesis of Human Scene UnderstandingCode0
MCDAL: Maximum Classifier Discrepancy for Active LearningCode0
Illuminating Pedestrians via Simultaneous Detection & SegmentationCode0
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingCode0
Conditional Reconstruction for Open-set Semantic SegmentationCode0
Conditional Random Fields as Recurrent Neural NetworksCode0
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch InvarianceCode0
LAKE ICE MONITORING WITH WEBCAMSCode0
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERTCode0
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background SegmentationCode0
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional NetworkCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
LAMP: Large Deep Nets with Automated Model Parallelism for Image SegmentationCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep LearningCode0
Automatic Brain Tumor Segmentation with Scale Attention NetworkCode0
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging SegmentationCode0
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic SegmentationCode0
Automatic Generation of Semantic Parts for Face Image SynthesisCode0
Image-based Detection of Surface Defects in Concrete during ConstructionCode0
Adaptive Hierarchical Certification for Segmentation using Randomized SmoothingCode0
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsCode0
Automatically Adaptive Conformal Risk ControlCode0
Image Clustering with Optimization Algorithms and Color SpaceCode0
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR DataCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Truly Generalizable Radiograph Segmentation with Conditional Domain AdaptationCode0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Image-Conditioned Graph Generation for Road Network ExtractionCode0
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape DescriptorCode0
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and TrackingCode0
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approachCode0
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble ModelCode0
Temporal Unet: Sample Level Human Action Recognition using WiFiCode0
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object PerimetersCode0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
Image-level Regression for Uncertainty-aware Retinal Image SegmentationCode0
Automated Segmentation and Connectivity Analysis for Normal Pressure HydrocephalusCode0
Conditional and Residual Methods in Scalable Coding for Humans and MachinesCode0
AMP: Adaptive Masked Proxies for Few-Shot SegmentationCode0
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric EstimationCode0
Language-Based Image Editing with Recurrent Attentive ModelsCode0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
Automated Knowledge Distillation via Monte Carlo Tree SearchCode0
A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic ScenesCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty QuantificationCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Automated Deep Photo Style TransferCode0
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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