jdc08161063,github

unifiedparsing

Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

unityimagesynthesistutorial1

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

unrestricted-adversarial-examples

Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge

unrolled_gan

Unrolled Generative Adversarial Networks

unsupervised-2017-cvprw

Disentangling Motion, Foreground and Background Features in Videos

unsupervisedattentionmechanism

Code for our paper: "Unsupervised Attention Mechanism across Neural Network Layers".

up-down-captioner

Automatic image captioning model based on Caffe, using features from bottom-up attention.

upsnet

UPSNet: A Unified Panoptic Segmentation Network

urban-data-science

Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.

uulearning

Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vadersharp

Sentiment analysis using VADER with C#

vae_vpflows

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

vaex

Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

variational-autoencoder-theano

Variational Autoencoders (VAEs) in Theano for Images and Text

variational-ladder-autoencoder

Implementation of VLAE

vat_tf

Virtual adversarial training with Tensorflow

vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

vdo_slam

VDO-SLAM: A Visual Dynamic Object-aware SLAM System

vectordefense

VectorDefense: Vectorization as a Defense to Adversarial Examples --->

vehicle-car-detection-and-multilabel-classification

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

vehicle-detection

Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.

velo2cam_calibration

Automatic Calibration algorithm for Lidar-Stereo camera. ROS Package.

veridataset

This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance.

vgg-memoji

Generating Memoji from Photos

vgg19_with_tensorflow

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

video-detection

video detection papers

video-enhancement

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

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