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[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Pytorch implementation of Center Loss
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
PyTorch implementation of the InfoNCE loss for self-supervised learning.
Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
PyTorch implementations of Generative Adversarial Networks.
CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
This repository contains a PyTorch implementation of the MICCAI 2021 paper "Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation".
Adversarial Policy Gradient for Medical Deep Learning Image Augmentation
Pytorch implementation of Virtual Adversarial Training