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Semantic Segmentation

Papers

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Showing 11401–11450 of 14763 papers

TitleStatusHype
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search—0
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation—0
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP—0
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine—0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model—0
Towards a Better Understanding of the Computer Vision Research Community in Africa—0
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement—0
Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation—0
Towards agricultural autonomy: crop row detection under varying field conditions using deep learning—0
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile—0
Towards an efficient Iris Recognition System on Embedded Devices—0
Towards an Efficient Semantic Segmentation Method of ID Cards for Verification Systems—0
ASIST: Annotation-free Synthetic Instance Segmentation and Tracking by Adversarial Simulations—0
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans—0
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers—0
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models—0
Towards Automated Semantic Segmentation in Mammography Images—0
Towards Automatic Annotation for Semantic Segmentation in Drone Videos—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Towards Bounding-Box Free Panoptic Segmentation—0
Towards Bridging Semantic Gap to Improve Semantic Segmentation—0
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation—0
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models—0
Towards Comparable Knowledge Distillation in Semantic Image Segmentation—0
Towards Complex-query Referring Image Segmentation: A Novel Benchmark—0
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation—0
Towards Continual Universal Segmentation—0
Towards Continuous Domain adaptation for Healthcare—0
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation—0
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation—0
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation—0
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling—0
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization—0
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability—0
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather—0
Towards general deep-learning-based tree instance segmentation models—0
Towards Generalising Neural Implicit Representations—0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation—0
Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence—0
Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities—0
Towards Good Practices for Instance Segmentation—0
Towards Good Practices for Video Object Segmentation—0
Towards Granularity-adjusted Pixel-level Semantic Annotation—0
Towards holistic scene understanding: Semantic segmentation and beyond—0
Towards Human-Level License Plate Recognition—0
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI—0
Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition—0
Towards integrating spatial localization in convolutional neural networks for brain image segmentation—0
Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework—0
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training—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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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