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lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

localaggregation

Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"

maplab

An open visual-inertial mapping framework.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

nexar-visual-localization

pecnet

Predicted endpoint conditioned trajectory prediction

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointmvsnet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

pot

POT : Python Optimal Transport

pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

r2d2

refresh

Create RefRESH data: dataset tools for Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)

rpmnet

RPM-Net: Robust Point Matching using Learned Features (CVPR2020)

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

solo

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

sparseconvnet

Submanifold sparse convolutional networks

stsu

Official code for "Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images" (ICCV 2021)

superpoint

Efficient neural feature detector and descriptor

test

view-parsing-network

(RA-L & IROS 2020) Cross-view Semantic Segmentation for Sensing Surroundings.

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

vlase

VLASE: Vehicle Localization by Aggregating Semantic Edges

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS