DagonDD

Anomaly-Detection-PatchSVDD-PyTorch

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

google-research

Google Research

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

Pytorch-Medical-Segmentation

This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.

RFNet

RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images

Sampling-free-Epistemic-Uncertainty

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

Stronger-yolo-pytorch

DagonDD/Anomaly-Detection-PatchSVDD-PyTorch

DagonDD/d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

DagonDD/Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

DagonDD/google-research

Google Research

DagonDD/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

DagonDD/mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

DagonDD/Pytorch-Medical-Segmentation

This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.

DagonDD/RFNet

RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images

DagonDD/Sampling-free-Epistemic-Uncertainty

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

DagonDD/Stronger-yolo-pytorch

DagonDD/TOD

PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021