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augmentor

Image augmentation library in Python for machine learning.

awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

benchmark_results

visual tracker benchmark results

cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

clip

Contrastive Language-Image Pretraining

continuous-convop

The Continuous Convolution Operator Tracker (C-COT).

dbsn

Unpaired Learning of Deep Image Denoising

deep-image-prior

Image restoration with neural networks but without learning.

deep-visualization-toolbox

DeepVis Toolbox

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dss

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

eco

Matlab implementation of the ECO tracker.

focal-loss-matconvnet

fourier-deconvolution-network

Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)

fsvm

git-recipes

:octocat: Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

image-denoising-state-of-the-art

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

lantern

🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴

long-term-tracking-benchmark

[ECCV'18] Long-term Tracking in the Wild: A Benchmark

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

meta_trackers

models

Models and examples built with TensorFlow

n2v

This is the implementation of Noise2Void training.

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

non-local_pytorch

Implementation of Non-local Block.