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Search results for deep learning spatial analysis
deep-learning
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spatial-analysis
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3 search results found
Awesome Geospatial
⭐
3,703
Long list of geospatial tools and resources
Pytorch_geometric_temporal
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2,386
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Graph Wavenet
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313
graph wavenet
Pytorch Spynet
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285
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
Ssrn
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160
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
Multi Camera Person Re Identification
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154
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
Spynet
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152
Spatial Pyramid Network for Optical Flow
Farseg
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114
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf
Sppnet
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105
Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**
Dynconv
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103
Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)
Delg
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102
Pytorch Implementation of Unifying Deep Local and Global Features for Image Search (DELG)
Istn
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86
Image-and-Spatial Transformer Networks
Deeplearn_hsi
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79
Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR
Awesome Traffic Prediction
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78
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
Fas Sgtd
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70
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
3d Semantic Segmentation
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69
This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.
Pytorch Stn
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52
Spatial Transformer Networks in Pytorch.
Tsception
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50
PyTorch implementation of TSception
Rainnet
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43
[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
Cnn Without Any Downsampling
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40
A project demonstrate that downsampling(upsaming) in cnn are not nesscessary
Spatiotemporal_datasets
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39
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Hyperspectral Image Spatial Super Resolution Via 3d Full Convolutional Neural Network
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36
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Spatial Transformer Nets
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34
Spatial Transformer Nets in TensorFlow/ TensorLayer
Sensor Specific Hyperspectral Image Feature Learning
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31
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
Lightfieldreconstruction
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28
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Visually Informed Embedding Of Word View
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28
Visually informed embedding of word (VIEW) is a tool for transferring multimodal background knowledge to NLP algorithms.
Spare3d
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26
A Dataset for SPAtial REasoning on Three-View Line Drawings
Lang2seg
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25
Referring Expression Object Segmentation with Caption-Aware Consistency, BMVC 2019
Ssun
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22
Spectral-Spatial Unified Networks for Hyperspectral Image Classification
Video Action Classification
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21
Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561
Imagefusion Nestfuse
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20
NestFuse (IEEE TIM 2020)- Pytorch >= 0.4.1
Ssfcn
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18
Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
Deepcropmapping
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17
Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping".
Cluttered Mnist
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17
Experiments on cluttered mnist dataset with Tensorflow.
Ssnm Coseg
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15
[AAAI20] Deep Object Co-segmentation via Spatial-Semantic Network Modulation(Oral paper)
Fdcnn
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15
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Deep Neural Network For Traffic Sign Recognition Systems
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14
Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
Segdgm_cnn
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13
Segment Deep Gray Matter on QSM images using 3D CNN
Deep Blind Hyperspectral Image Fusion
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12
This repository is the official code for DBIN (ICCV 2019) and EDBIN (TNNLS 2021)
Presnet Hsi
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12
Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"
Deepsky
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12
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
Lightfieldangularsr
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11
Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues
Dl_steganalysis
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10
Deep learning based image steganalysis in spatial domain
Tsr Torch
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10
Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
Conv Caps Hsi Classification
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9
Code for the paper "Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification"
Traffic Sign Recognition
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8
Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.
Spatial_deep_learning_for_wireless_scheduling
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8
Deepspat
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7
Deep Compositional Spatial Models
Opponency
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7
Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks
Learnable Deep Priors
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6
Code for the paper "Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping"
3dmmasstn Pytorch
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6
Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Higher Order Graph Convolutional Neural Network
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6
A Tensorflow implementation of a higher order graph convolutional neural network
Deblur Denoising Hyperspectral
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6
A collection of state-of-the-art Deblur,Denoising, and Hyperspectral architectures.
Drone_view_building_identification
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6
Drone-view building identification by cross-view Triplet deep neural network and relative spatial estimation
Deploy Time Cnn Optimization
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5
A tool box for deploy time structure optimization for some modern CNN structures
Dssn_release
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5
Deep Spectral-Spatial Network (DSSN) for Single Image Deblurring
Deepconnection
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5
Deep learning model to classify relationship state in romantic couples from images and video
Attentiontrl
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5
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
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