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superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

superpixelsegmentation

Segmentation using superpixels. Uses SLIC to preprocess each image, separate foreground from background in an image using a supervised model, handle unsupervised segmentation for when without initial training data. 16720f13hw6.

surface-defect-detection

缺陷检测文献记录

svdnet-for-pedestrian-retrieval

Code for https://arxiv.org/abs/1703.05693

switchable-normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

tangent_conv

Tangent Convolutions for Dense Prediction in 3D

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorial

Some interesting TensorFlow tutorials for beginners.

test

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

tf-dropblock

TensorFlow implementation of DropBlock

tfocs

A MATLAB toolbox for building first-order solvers for convex models.

tiny

Tiny Face Detector, CVPR 2017

tnr_mtl_codes_siamoptimization2010

matlab codes

toolbox

Piotr's Image & Video Matlab Toolbox

tpu

Reference models and tools for Cloud TPUs.

transdim

Data imputation for urban transportation system

trd_cvpr2015

Matlab code

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

tripleweightednorm

code

tripleweightednormpaper

Latex and word files

ts1-algorithms

twosidedopp

Code and potential paper

twsc-eccv2018

Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".

udnet

unsupervised-person-re-identification-clustering-and-fine-tuning

variational-autoencoder-with-arbitrary-conditioning

PyTorch implementation (unofficial) of the ICLR 2019 paper 'Variational Autoencoder with Arbitrary Conditioning'

vcnn_double-bladed

Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.

vgan

Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

video-quality

Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...