This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

Last update: Dec 20, 2022

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Overview

3D-CVF

This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

Requirements

Follow the installation steps in SECOND, or use the docker image we provide.

docker pull yckimm/second:second_v1.5

Getting Started

Training (1st stage)

sh train_bash_1st.sh

Training (2nd stage)

sh train_bash_2nd.sh

Acknowledge

Thanks to the SECOND codebase maintained by traveller59.

Owner

YecheolKim

GitHub Repository

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This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

Related tags

Overview

3D-CVF

Requirements

Getting Started

Training (1st stage)

Training (2nd stage)

Acknowledge

Owner

YecheolKim

Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'

Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features

Official code for "Decoupling Zero-Shot Semantic Segmentation"

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

The MLOps platform for innovators 🚀

Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

ElegantRL is featured with lightweight, efficient and stable, for researchers and practitioners.

Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

DeepLabv3+：Encoder-Decoder with Atrous Separable Convolution语义分割模型在tensorflow2当中的实现

Toolbox to analyze temporal context invariance of deep neural networks

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Largest list of models for Core ML (for iOS 11+)

Event-forecasting - Event Forecasting Algorithms With Python

Image Matching Evaluation

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Codes for our paper The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders published to EMNLP 2021.

Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)

Self-attentive task GAN for space domain awareness data augmentation.

A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"

This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)