#semanticsegmentation ผลการค้นหา
👋👋 Knowledge Enhanced #NeuralNetworks for #PointCloud #SemanticSegmentation ✍️ Grilli, E. et al. 📎 brnw.ch/21wNlLI
#mostdownloaded 📢A Method Combining Line Detection and #SemanticSegmentation for Power Line Extraction from #UnmannedAerialVehicle Images by Wenbo Zhao, Qing Dong and Zhengli Zuo mdpi.com/2072-4292/14/6… #UAV
👋👉 Controllable Fused #SemanticSegmentation with #AdaptiveEdgeLoss for Remote Sensing Parsing ✍️ Xudong Sun et al. 📎 brnw.ch/21wNvdi
👉👉 DNAS: Decoupling #NeuralArchitecture Search for #HighResolution Remote Sensing Image #SemanticSegmentation ✍️ Yu Wang et al. 📎 mdpi.com/2072-4292/14/1…
👉👉 Using Multisource #HighResolution Remote Sensing Data (2 m) with a #Habitat–Tide–#SemanticSegmentation Approach for #Mangrove Mapping ✍️ Ziyu Sun et al. 📎 brnw.ch/21wNuwu
Proposing a cost-effective deep learning method for semantic segmentation in plant images, focusing on wheat heads. Achieved high performance with minimal manual annotation. #DeepLearning #SemanticSegmentation Details:spj.science.org/doi/10.34133/p…
1/5 🌐"Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data." This strategy adapts models to new domains without needing external data. #AI #MachineLearning #SemanticSegmentation
#mostdownloaded 📑A Block Shuffle Network with Superpixel Optimization for #Landsat Image #SemanticSegmentation by Xuan Yang, Zhengchao Chen, Bing Zhang, Baipeng Li, Yongqing Bai and Pan Chen mdpi.com/2072-4292/14/6… #deeplearning
Revolutionizing deep learning: Our method minimizes manual annotation for semantic segmentation, boosting performance in wheat head identification. Versatile application across domains. #DeepLearning #SemanticSegmentation Details:spj.science.org/doi/10.34133/p…
👋 👋 #DeepLearning-Based #SemanticSegmentation Approach for #PointClouds of Extra-#HighVoltage #TransmissionLines ✍️ Yu, H., Wang, Z. et al. 📎 brnw.ch/21wNlaV
Exploring deep learning for wheat head segmentation with minimal manual annotation. Leveraging computationally annotated datasets and domain adaptation, our U-Net model achieves high Dice scores across diverse datasets. #AI #SemanticSegmentation Details: spj.science.org/doi/10.34133/p…
#notablepaper 📢MFANet: A Multi-Level Feature Aggregation Network for #SemanticSegmentation of #LandCover by Bingyu Chen, Min Xia and Junqing Huang mdpi.com/2072-4292/13/4… #FeatureExtraction
"Deep learning's potential in large datasets hindered by costly manual annotation. Our method minimizes this for semantic segmentation, focusing on wheat heads, achieving high performance with minimal labels. #AI #SemanticSegmentation Details: spj.science.org/doi/10.34133/p…
#Article: A Real-Time Dual-Task Defect Segmentation Network for Grinding Wheels with Coordinate Attentioned-ASP and Masked Autoencoder Authors: Yifan Li, et al. 👉 mdpi.com/2075-1702/12/4… #SemanticSegmentation #ASPP @MDPIEngineering @MDPIOpenAccess
New post on DebuggerCafe - Train UNet from Scratch using PyTorch debuggercafe.com/training-unet-… #PyTorch #UNet #SemanticSegmentation
🌊🛰️🌊 #SRSe-Net: #SuperResolution-Based #SemanticSegmentation Network for #GreenTide Extraction ✍️ Binge Cui et al. 📎 brnw.ch/21wNzdR
👋👋👉 #SemanticSegmentation (U-Net) of #Archaeological Features in Airborne #LaserScanning—Example of the Białowieża Forest ✍️ Paweł Zbigniew Banasiak et al. 📎 brnw.ch/21wNDVS
🏡🏡👉 #FCAU-Net for the #SemanticSegmentation of #FineResolution Remotely Sensed Images ✍️ Xuerui Niu et al. 📎 brnw.ch/21wNvdv
New post on DebuggerCafe - Implement UNet from scratch using PyTorch debuggercafe.com/unet-from-scra… #PyTorch #SemanticSegmentation #UNet #UNetFromScratch #UNetPyTorch #UNetSegmentation #DeepLearning
🛰️🛩️🖼️ #PGNet: Positioning Guidance Network for #SemanticSegmentation of Very-#HighResolution Remote Sensing Images ✍️ Bo Liu et al. 📎 mdpi.com/2072-4292/14/1…
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