Top Tweets for #convolutionalNetworks
👉👉 SCCMDet: Adaptive Sparse #ConvolutionalNetworks Based on Class #Maps for Real-Time Onboard #Detection in #Unmanned #AerialVehicle Remote Sensing Images
✍️ Qifan Tan et al.
🔗 https://t.co/pGbkoQ0a2t
👉👉 #Radar #Signal Classification with Multi-Frequency Multi-Scale Deformable #ConvolutionalNetworks and Attention Mechanisms
✍️ Ruofei Liang and Yigang Cen
🔗 https://t.co/kkk2dKBZkI
#mostview
Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model
https://t.co/d8RB1eRAfC
#GCN #gaitclassification #convolutionalnetworks #multipleinputbranches #MIB #globalaveragepooling #temporalconvolutionalnetwork #TCN
J Chem. Inf. Model.
ACGCN: #Graph #ConvolutionalNetworks for #ActivityCliff Prediction between Matched Molecular Pairs
@JCIM_JCTC #DrugDesign #drugdiscovery #medicinalchemistry #compchem #medchem
https://t.co/YpNo8uV2AL
Understand #convolutionalnetworks and how they are applied for image classification and object detection , #machinevision, #computervision @edgeaivision @EmbVisionSummit @zsevarac
https://t.co/N4R6E3YRIN
Gated #ConvolutionalNetworks for #Cloud Removal From Bi-Temporal #RemoteSensing #Images
by Peiyu Dai, Shunping Ji and Yongjun Zhang
👉https://t.co/t9r2lSBJ1n
#ML talks
Ayer @agusangui sobre como @pedidosya aplica soluciones de #AI
Luego @pau_martinez de @Marvik_AI sobre #ConvolutionalNetworks
Hoy @cephaloponderer - @GoogleAI, @shakir_za - @DeepMind y @morlaicassiopea y @LucianaBenotti - @unc_cordoba sobre #Fairness and #Biases
CRACKS!
Transformers have attracted increasing interests in #ComputerVision, but fall behind #ConvolutionalNetworks.
This article shows that while Transformers tend to have more capacity, their generalization can be worse than convolutional networks >>> https://t.co/2dunlRccWd
La Inteligencia Artificial, el gran aliado para la protección de datos sensibles en imágenes.
Artículo de Yihua Liao y de Yi Zhang, expertos en ciencia de datos, de @Netskope, en Cybersecurity de @ITwareLatam.
#AI #ConvolutionalNetworks #MachineLearning
https://t.co/KHvqY8PpWW
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang, Maurice Weiler: https://t.co/W5JUbuif3n
#DeepLearning #GroupEquivariant #ConvolutionalNetworks
Why are #graphneuralnetworks less successful than #convolutionalnetworks? Hear what @mmbronstein (of @Twitter and Imperial College London) thinks in his talk “Deep Learning on Graphs: Past, Present, And Future” at #KnowCon2020. Book your seat here: https://t.co/TB18KWoMs3
I'm in love with the #AIForMedicine specialization from @DeepLearningAI_ at @coursera. Totally recommended. #ELearning #MedicalPhysics #AI #DeepLearning #ConvolutionalNetworks #NeuralNetworks
Fully #ConvolutionalNetworks and a Manifold Graph Embedding-Based Algorithm for #PolSAR #Image Classification
by Chu He, Bokun He, et al.
👉https://t.co/3EY9SV8Skc
#deeplearning
#remotesensing
#RSHighlyCitedPaper
A Stacked Fully #ConvolutionalNetworks with Feature Alignment Framework for Multi-Label #LandCover Segmentation
by Guangming Wu, Yimin Guo, et al.
👉https://t.co/Oh1gC2oRBo
#remotesensing
#LandCoverClassification
#ImageSegmentation
#EnsembleLearing
#RSHighlyCitedPaper
A Novel Object-Based #DeepLearning Framework for #SemanticSegmentation of Very High-Resolution #RemoteSensing Data: Comparison with Convolutional and Fully #ConvolutionalNetworks
By Maria Papadomanolaki, et al.
👉https://t.co/786FzJdwWV
#RemoteSensing
#lidar
Machine Learning Foundations: Part 6 - Convolutional cats and dogs
#machineLearning #ml #tensorflow #python #programming #deepLearning #ai #convolutionalNetworks #catsAndDogs
https://t.co/nmsQzKk7Be
Join me in just 80 mins time, I’ll be giving a webinar on #knowledgegraph #convolutionalnetworks for @GraknLabs.
It’s going to be so much fun, @meanwhile_inn will be bringing the laughs as our host.
Register here: https://t.co/J1tZtgeCEb
Fully #ConvolutionalNetworks with Multiscale 3D Filters and Transfer Learning for Change Detection in #HighSpatialResolution #Satellite #Images
by Ahram Song and Jaewan Choi
👉https://t.co/tTPaFzMwdD
#remotesensing
Try out a free chess dataset from the MakeML team and train an object detection model in a few clicks.
Here is a link: https://t.co/ZogHvPKCvF
#dataset #deeplearning #convolutionalnetworks #computervision #machinelearning #objectdetection
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Gomes et al.: https://t.co/68bWQZAfCP
#MachineLearning #ChemicalPhysics #ConvolutionalNetworks
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