Top Tweets for #DeepLabV3
5/6
Changes I did to #Mask2Former pipeline:
• Respect the configured input channels
• Expand the pretrained #Swin patch #embedding
• Initialize the extra channels using the same strategy as #DeepLabV3
And it was merged. 🎉
🔗 PR: https://t.co/hvSFcScKbG
⚓⚓ #Submarine #Landslide #Identification Based on Improved #DeepLabv3 with Spatial and Channel Attention
✍️ Jingwen Huang et al.
🔗 https://t.co/B9At8eaYBw
Thrilled to share my latest project! While DeepLabV3+ is usually pre-trained on street views, I used OpenEarthMap to train it on global satellite imagery. Check out the code: https://t.co/4pRDVpEuzz . #SatelliteImagery #GeoAI #GeospatialAnalysis #DeepLabV3 #OpenEarthMap
👉 Monitoring #ImperviousSurface Area Dynamics in #Urban Areas Using #Sentinel2 Data and Improved #Deeplabv3+ Model: A Case Study of Jinan City, China
✍️ Liu, J., Zhang, Y. et al.
📎 https://t.co/zcNCaNKxeC
【 https://t.co/3fXshwjZos 】 セマンティックセグメンテーションによる建造物識別 https://t.co/MTPBjHe5Dt #DeepLabV3 #セマンティックセグメンテーション #建造物識別
Document Scanner using Semantic Segmentation Architecture DeepLabV3 by @wolfcry3_0
https://t.co/iw8cx5EDj1
@LearnOpenCV #DeepLearning #AI #ComputerVision #machinelearning #DeepLabV3
We have just added #YOLOX & #DeepLabV3 to Nexus! 🎉
These two models will be added to provide #SOTA models to users who are keen to use these models on both bounding-box and mask-labeled data.
💻 Train these models on your dataset today! 👉🏼 https://t.co/SgKu2yxFcL
Mmsegmentation - Openmmlab semantic segmentation toolbox and benchmark.
https://t.co/ytxHSooXCz
#python #deeplabv3 #imagesegmentation #medicalimagesegmentation #pspnet #pytorch
Takeaway #3: #GlacierNet and #MobileUNet overestimate terminus while the #ResUNet and #DeepLabV3+ underestimate. Terminus mapping is a real struggle 😩
Takeaway #1: #DeepLabV3+ shows excellent performance in delineating debris-cover glacier ablation zone and is recommended for regional and large-scale mapping.
Specifically, five advanced CNN segmentation models with different types of convolutions (#Mobile-UNet, #Res-UNet, #FCDenseNet, #R2UNet, and #DeepLabV3+) and one previously developed debris-covered glacier algorithm #GlacierNet (https://t.co/z0cAqyLCdZ) were compared.
New algorithm in our marketplace! 🤩
DeepLabv3+ by @Google can train and test semantic segmentation models.
Code repo ➡️ https://t.co/wWvTBJI5Up
Documentation ➡️ https://t.co/GtrUNwthwr
#deeplearning #ai #imageprocessing #MachineLearning #deeplabv3
A #Python package to work on #satellite images and get shape recognition using #Deeplabv3+ / #MaskRCNN.
#EagleView a #GeoAI Super-High-Resolution Image Segmentation using #Keras & #ArcGIS 🌍
💡 @TDataScience
https://t.co/Kv0KtgXY60
#MachineLearning #DeepLearning #AI
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