This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Last update: Jan 16, 2022

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Deep Learning AlexNet3D

Overview

AlexNet_3dConv

TensorFlow implementation of AlexNet(2012) by Alex Krizhevsky, with 3D convolutiional layers.

3D AlexNet

Network with a standart AlexNet architecture, but it has 3D instead 2D filters on each Conv and Pool layers.

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Note: This model needs a lot of GPU memory. Training session will not starts on 1 GPU without additional data separation or code's parallelization (or https://github.com/openai/gradient-checkpointing for example).
Note2: This model doesn't pretend to be the SilverBullet in 3D image recognition (like AlexNet was in 2D). It's just an example of 3D convolutional model in TensorFlow.

Owner

Denis Timonin

AI Solutions Architect at NVIDIA

GitHub Repository

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This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Deep Halftoning with Reversible Binary Pattern

Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021).

MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

통일된 DataScience 폴더 구조 제공 및 가상환경 작업의 부담감 해소

A visualisation tool for Deep Reinforcement Learning

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

Where2Act: From Pixels to Actions for Articulated 3D Objects

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.

Reinforcement learning for self-driving in a 3D simulation

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

Official Matlab Implementation for "Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression", TIP 2020

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

Code for "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection", ICRA 2021

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)

Unofficial Tensorflow Implementation of ConvNeXt from A ConvNet for the 2020s

LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs.

[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators"

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's Gradient Checkpointing algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Deep Halftoning with Reversible Binary Pattern

Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021).

MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

통일된 DataScience 폴더 구조 제공 및 가상환경 작업의 부담감 해소

A visualisation tool for Deep Reinforcement Learning

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

Where2Act: From Pixels to Actions for Articulated 3D Objects

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.

Reinforcement learning for self-driving in a 3D simulation

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

Official Matlab Implementation for "Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression", TIP 2020

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

Code for "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection", ICRA 2021

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)

Unofficial Tensorflow Implementation of ConvNeXt from A ConvNet for the 2020s

LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs.

[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators"

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing