Implementation of our paper Learnable Optimal Sequential Grouping for Video Scene Detection

Video Scene Detection Based on the Optimal Sequential Grouping algorithm

全国各省市停贷通知汇总

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

相信科学

A paper list of object detection using deep learning.

temporal action detection with SSN

岳昕：致北大师生与北大外国语学院的一封公开信

用Python+Opencv让电脑帮你自动玩微信跳一跳

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Caffe Protofiles for MSRA ResNet: train prototxt

Caffe: a fast open framework for deep learning.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Fine-tuning an already learned model, adapts the architecture to other datasets

Fast R-CNN

Reimplementation ResNet on cifar10 with caffe

use uncommon datasets on caffe,such as cifar100 and SVHN

Deep Residual Learning for Image Recognition