Memory In Memory Networks
It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics to be presented at CVPR 2019. Official Repo
PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
Overview
[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
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Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection
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Offical implementation for "Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation".
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This is a Keras implementation of a CNN for estimating age, gender and mask from a camera.
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This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our paper "Accounting for Gaussian Process Imprecision in Bayesian Optimization"
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BraTs-VNet - BraTS(Brain Tumour Segmentation) using V-Net
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This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.
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Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.
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Reliable probability face embeddings
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TensorFlow implementation of the algorithm in the paper "Decoupled Low-light Image Enhancement"
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Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
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Scikit-event-correlation - Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms
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A symbolic-model-guided fuzzer for TLS
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