Starred repositories
KITTI Odometry Evaluation Toolbox
Toolbox for quantitative trajectory evaluation of VO/VIO
This project serves the paper SWformer-VO: A Monocular Visual Odometry Model -based on techches Transformer (https://ieeexplore.ieee.org/document/10490096)
KITTI odometry evaluation tool
⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Official repository for "A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains", NeurIPS-23.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
XVO: Generalized Visual Odometry via Cross-Modal Self-Training [ICCV 2023]
Supporting Code for "Self-Supervised Deep Pose Corrections for Robust Visual Odometry"
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
PyTorch implementation of UPFlow (unsupervised optical flow learning)