SOTAVerified

Semantic Segmentation

Papers

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Showing 11451–11500 of 14763 papers

TitleStatusHype
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation—0
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry—0
Towards Map-Based Validation of Semantic Segmentation Masks—0
Towards More Unified In-context Visual Understanding—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation—0
Towards Open-Set Semantic Segmentation of Aerial Images—0
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels—0
Towards Panoptic 3D Parsing for Single Image in the Wild—0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Towards Robust Online Domain Adaptive Semantic Segmentation under Adverse Weather Conditions—0
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking—0
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement—0
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer—0
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions—0
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition—0
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism—0
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier—0
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey—0
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients—0
Towards Unconstrained End-to-End Text Spotting—0
Towards Unified Depth and Semantic Prediction From a Single Image—0
Towards Universal Vision-language Omni-supervised Segmentation—0
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks—0
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent—0
Towards Varroa destructor mite detection using a narrow spectra illumination—0
Towards Visually Explaining Similarity Models—0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
TraceCaps: A Capsule-based Neural Network for Semantic Segmentation—0
Trace-back along capsules and its application on semantic segmentation—0
TraceNet: Segment one thing efficiently—0
Tracing Halpha Fibrils through Bayesian Deep Learning—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentation—0
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories—0
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking—0
Traditional Saliency Reloaded: A Good Old Model in New Shape—0
TRADI: Tracking deep neural network weight distributions for uncertainty estimation—0
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation—0
Training and Inference for Integer-Based Semantic Segmentation Network—0
Training Bit Fully Convolutional Network for Fast Semantic Segmentation—0
Auxiliary Learning for Deep Multi-task Learning—0
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation—0
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations—0
Training Deep Networks to be Spatially Sensitive—0
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization—0
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts—0
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation—0
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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