Best of Australian Centre for Robotic Vision (ACRV)
A collection of open source projects capturing the best of the ACRV. See link below to further explore our projects.
Pinned Repositories
acrv-datasets
A repository for downloading and preparing datasets used by projects in Best-Of-ACRV
bottom-up-attention
This repository contains a PyTorch implementation of the work: Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
carlie_docs
carlie_teach_and_repeat
cycle-wgan
fcos
This repository contains a PyTorch implementation of the work: FCOS: Fully Convolutional One-Stage Object Detection
refinenet
PyTorch RefineNet repository
refinenet-feedstock
A conda-smithy repository for refinenet.
toposlam
Topological SLAM: Deep Visual Odometry with Long Term Place Recognition (Loop Closure Detection)
unsupervised-depth-estimation
Best of ACRV: Ravi Garg's Unsupervised CNN for Single View Depth Estimation code in PyTorch and PyCaffe
Best of Australian Centre for Robotic Vision (ACRV)'s Repositories
best-of-acrv/toposlam
Topological SLAM: Deep Visual Odometry with Long Term Place Recognition (Loop Closure Detection)
best-of-acrv/refinenet
PyTorch RefineNet repository
best-of-acrv/unsupervised-depth-estimation
Best of ACRV: Ravi Garg's Unsupervised CNN for Single View Depth Estimation code in PyTorch and PyCaffe
best-of-acrv/acrv-datasets
A repository for downloading and preparing datasets used by projects in Best-Of-ACRV
best-of-acrv/bottom-up-attention
This repository contains a PyTorch implementation of the work: Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
best-of-acrv/cycle-wgan
best-of-acrv/fcos
This repository contains a PyTorch implementation of the work: FCOS: Fully Convolutional One-Stage Object Detection
best-of-acrv/carlie_docs
best-of-acrv/carlie_teach_and_repeat
best-of-acrv/refinenet-feedstock
A conda-smithy repository for refinenet.
best-of-acrv/acrv-ros-wrappers
Wrappers for using our code repositories with ROS
best-of-acrv/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks