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awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

calibrated-multiple-uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

convolutional-kans

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

domain-consensus-clustering

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

isic-gan

Using GANs for ISIC

isic2018

Lesion attributes segmentation for melanoma detection with multi-task U-Net

ml-diplom-1

notes-representation-learning

My notes on representation learning

ovanet

Repository for OVANet

pykan

Kolmogorov Arnold Networks

reproduce-oslpp

segmentation-as-additional-channels

Using segmentationmasks as additional channels for classification

torch-conv-kan

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

universal-domain-adaptation

Code release for Universal Domain Adaptation(CVPR 2019)

visda21-dev

ynet-segmentation-4-classification

Using segmentation masks to improve classification with a YNet architercture