HazeDT/PHMGNNBenchmark
quality grade F, 23 out of 100this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)
Search and filter videos based on objects that appear in them using convolutional neural networks
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Face recognition and analytics library based on deep neural networks and ONNX runtime
Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"
[IJCV][ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
Gradient based receptive field estimation for Convolutional Neural Networks
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)
Bag of Tricks for Graph Neural Networks.
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
Correcting gaze by warping-based convolutional neural network in live video communication
Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]
RNA-seq prediction with deep convolutional neural networks.
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
An alternative to convolution in neural networks
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
Semantic JPEG image compression using deep convolutional neural network (CNN)
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