marco-toldo

marco-toldo's Stars

• mychele/unipd-latex-template

  Modern LaTeX template for UNIPD Thesis. Download it here:

  Language:TeX154

• SysCV/shift-dev

  SHIFT Dataset DevKit - CVPR2022

  Language:Python10210

• ygjwd12345/UCD

  The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"

  Language:Python338

• fcdl94/WILSON

  Official implementation of "Incremental Learning in Semantic Segmentation from Image Labels"

  Language:Python599

• fcdl94/MiB

  Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

  Language:Python16644

• arthurdouillard/CVPR2021_PLOP

  Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

  Language:Python14523

• Eromera/erfnet_pytorch

  Pytorch code for semantic segmentation using ERFNet

  Language:Python428125

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python8.2k2.6k

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.4k558

• sovrasov/flops-counter.pytorch

  Flops counter for convolutional networks in pytorch framework

  Language:Python2.8k307

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.3k329

• LTTM/UDAclustering

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

  Language:Python262

• LTTM/RECALL

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

  Language:Python194

• LTTM/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.

  Language:Python41

• LTTM/SDR

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

  Language:Python518

• LTTM/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

  Language:Python272

• LTTM/IL-SemSegm

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

  Language:Python582

• LTTM/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.

  Language:Python71

• astra-vision/CoMoGAN

  CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

  Language:Python18114