lttm Goto Github PK

ccda

PyTorch implementation of: D. Shenaj, F. Barbato, U. Michieli and P. Zanuttigh, “Continual coarse-to-fine domain adaptation in semantic segmentation”, Image and Vision Computing, 2022

cl-pcss

Repositiory of paper "Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data"

depthformer

fedspace

PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).

gmnet

Official Code for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Rossi, P. Zanuttigh, ECCV 2020

hsirs

High quality Spectral Image Reconstruction and Segmentation Dataset

il-coarse2fine

This repository contains the code for the paper: "Incremental and Multi-Task Learning Strategies for Coarse-to-Fine Semantic Segmentation", Technologies 2020 vol.8 num. 1, special issue on Computer Vision and Image Processing Technologies.

il-semsegm

Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019

lsr

This is the official PyTorch implementation of our works: "Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation" presented at the CVPR2021 Workshop on Autonomous Driving and "Road Scenes Segmentation Across Different Domains by Disentangling Latent Representations" submitted to Springer's The Visual Computer Journal.

pcutils

Utility functions to work with PCs with special focus on PC coding

recall

Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021

scan-to-bim

Codebase for "FULLY AUTOMATED SCAN-TO-BIM VIA POINT CLOUD INSTANCE SEGMENTATION"

sdr

PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.

selma

Fork from the carla-simulator

syndrone

Repository containing the code and tools required to build & smulate on the Syndrone dataset.

udaclustering

Code for the paper "Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings", WACV 2021

utils

Useful scripts shared among different projects.