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mx-lsoftmax

mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

mxnet-deeplab

Deeplab for semantic segmentation implemented by MXNet

noml

A notebook for machine learning interview

nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

patchcore-inspection

person_reid_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pytorch-deeplab

DeepLab-ResNet rebuilt in Pytorch

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

pytorch-ss

Pytorch for Semantic Segmentation

resume

Software developer resume in Latex

seal

Code for Simultaneous Edge Alignment and Learning (SEAL)

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

spot-diff

Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)

tf-dann

Domain-Adversarial Neural Network in Tensorflow

tusimple-duc

Understanding Convolution for Semantic Segmentation

unitysteer

Steering, obstacle avoidance and path following behaviors for the Unity Game Engine

unrealcv

UnrealCV: Connecting Computer Vision to Unreal Engine

unsupervised_embedding_learning

Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

vanleuven_academic

Andrew Van Leuven's academic page

vision

Datasets, Transforms and Models specific to Computer Vision