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accaltproj_for_rpca

Accelerated Alternating Projections for Robust Principal Component Analysis

acsiam

Code for the paper "Design of Asynchronous Correlation Discriminant Single Object Tracker Based on Siamese Network"

act

Real-time 'Actor-Critic' tracking

admm

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

apollo

An open autonomous driving platform

asms

Scale adaptive mean-shift tracker

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

cat

Wasserstein distance-based auto-encoder tracking

ccp-dim

clickattention

ClickAttention

continuousparetomtl

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

deep-descriptor-transforming

This is a pytorch implementation of DDT.

deep_dictionary_learning

A PyTorch implementation of the Deep Dictionary model

deeplearning

dksrc_tracking

Discriminative Non-Linear Sparse Coding for Visual Object Tracking

europilot

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

ghm_loss.pytorch

grassmann

Code for "Dictionary learning and sparse coding on Grassmann manifolds: an extrinsic solution" ICCV 2013

imgaug

Image augmentation for machine learning experiments.

istd

Infrared Small Target Detection

kerneldictionarylearning

This repo is dedicated to testing and experiments with the Kernel Dictionary Learning by H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa

lc-ksvd

Implementation of the Label consistent KSVD algorithm proposed by Zhuolin Jiang, Zhe Lin and Larry S. Davis.

machine-learning

meanshift

mean shift object tracking algorithm implement by C plus plus

mine

Mutual Information Neural Estimation (Pytorch)

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

morpca

Manifold Optimization for Robust PCA.

mtcnn

mtcnn in python

nnksc

Non-negative Kernel Sparse Coding algorithm for semantic dictionary learning in feature space.