Explore tweets tagged as #semanticsegmentation
New post on DebuggerCafe - Train UNet from Scratch using PyTorch #PyTorch #UNet #SemanticSegmentation
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New post on DebuggerCafe - Implement UNet from scratch using PyTorch.#PyTorch #SemanticSegmentation #UNet #UNetFromScratch #UNetPyTorch #UNetSegmentation #DeepLearning
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👉 Top 10 Computer Vision Techniques with Deep Learning. #ComputerVision #ML #AI #ObjectDetection #SemanticSegmentation #DigitalTransformation #DeepLearning #DepthEstimation #Models #ReinforcementLearning
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Momentum Adapt is a vital solution for addressing temporal inconsistency in video semantic segmentation. Discover more about this innovative approach here: #NokiaInnovates #SemanticSegmentation #VideoCoding
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🔥 Read our Highly Cited Paper.📚 nmODE-Unet: A Novel Network for #SemanticSegmentation of #MedicalImages.🔗 👨🔬 Shubin Wang, Yuanyuan Chen and Zhang Yi.🏫 @SCUCN.#deepneuralnetworks #deeplearning
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🔥 Read our Highly Cited Paper.📚 A #DeepLearning Approach to #SemanticSegmentation of #SteelMicrostructures.🔗 👨🔬 Jorge Muñoz-Rodenas.🏫 @uclm_es.#lowcarbonsteels #opticalmicrostructure
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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:
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🌊🛰️🌊 #SRSe-Net: #SuperResolution-Based #SemanticSegmentation Network for #GreenTide Extraction. ✍️ Binge Cui et al. 📎
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🎥Check out our latest video showing you how to use pre-trained semantic segmentation models from TensorFlow Hub easily! #TensorFlow #MachineLearning #SemanticSegmentation #PretrainedModels. #AI #ArtificialIntelligence #opencv
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Big news! #SemanticSegmentation is now part of Kognic's data exploration tools. Dive deep into your datasets, compare model predictions with annotated data, and uncover valuable insights. Ready to explore? #Datasetmanagement #Kognic #SemSeg
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👋👉 Controllable Fused #SemanticSegmentation with #AdaptiveEdgeLoss for Remote Sensing Parsing. ✍️ Xudong Sun et al. 📎
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Revolutionizing deep learning: Our method minimizes manual annotation for semantic segmentation, boosting performance in wheat head identification. Versatile application across domains. #DeepLearning #SemanticSegmentation.Details:
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#mostdownloaded.📢A Method Combining Line Detection and #SemanticSegmentation for Power Line Extraction from #UnmannedAerialVehicle Images.by Wenbo Zhao, Qing Dong and Zhengli Zuo. #UAV
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#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 . #deeplearning
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👉👉 Using Multisource #HighResolution Remote Sensing Data (2 m) with a #Habitat–Tide–#SemanticSegmentation Approach for #Mangrove Mapping. ✍️ Ziyu Sun et al. 📎
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💡Enhance AI with 3D LiDAR Point Cloud Annotation! . From #SemanticSegmentation to Object Tracking, it powers #AutonomousVehicles, #SmartCities, & #Robotics. Improve your ML model with accurate point cloud data. .#AI #3DLiDAR #PointCloud #ML
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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:
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👉👉 DNAS: Decoupling #NeuralArchitecture Search for #HighResolution Remote Sensing Image #SemanticSegmentation. ✍️ Yu Wang et al. 📎
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"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:
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