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boosting-light-weight-depth-estimation

Official implementation of "Boosting Light-Weight Depth Estimation Via Knowledge Distillation"

completionformer

[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

efficientlps

PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic

elastic-weight-consolidation

This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.

extinfomax

Codes for reproducing results in the paper "Extending information maximization from a rate-distortion perspective"

fs-map-project

junjh.github.io

lifelong-monodepth

About official Pytorch implementation of "Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation

miso_connection

Algorithms for the connection planning problem of configurations composed of MISO modules, such as IM and TBB used in the article "Auto-Optimizing Connection Planning Method for Chain-Type Modular Self-Reconfiguration Robots"

ms2-multispectralstereodataset

This is the official GitHub page of the Multi-Spectral Stereo (MS2) dataset described in CVPR 2023 paper.

neuralcomapping

[CVPR 2022] Multi-Robot Active Mapping via Neural Bipartite Graph Matching.

plnet

Code for PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation

revisiting_single_depth_estimation

official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"

semantic-graph-based--global-localization

Semantic graph based global localization for multi-robot map fusion.

visualizing-cnns-for-monocular-depth-estimation

official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"