6335 Open source projects that are alternatives of or similar to Bottom Up Attention

code for py-R-FCN-multiGPU maintained by bupt-priv

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

SeqFace : Making full use of sequence information for face recognition

faster-rcnn_VS2013with C++

Bottom-up features extractor implemented in PyTorch.

Training Toolbox for Caffe

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Auto-ReID and Other Person Re-Identification Projects

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Keras version of Realtime Multi-Person Pose Estimation project

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Generating Captions for images using Deep Learning

Deformable Convolutional Networks on caffe

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

TensorFlow Implementation of "Show, Attend and Tell"

Implementation of Neural Image Captioning model using Keras with Theano backend

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

faster-rcnn c++ python model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

📷 ❓ Visual Question Answering Demo and Algorithmia API

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Image Captioning based on Bottom-Up and Top-Down Attention model

Physical adversarial attack for fooling the Faster R-CNN object detector

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

Oriented Response Networks, in CVPR 2017

MTCNN with Motion Detection, on Raspberry Pi with Love

Faster R-CNN for pedestrian detection

Image Captioning using InceptionV3 and beam search

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

项目注释+论文复现+算法竞赛

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Oscar and VinVL

Deep networks for Earth Observation

Evaluation of the CNN design choices performance on ImageNet-2012.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

Описание задачи

Unsupervised learning of atomic scale dynamics from molecular dynamics.

A fast Python based just-in-time compiling boundary element library

머신러닝야학 - 텐서플로우1 수업을 위한 코드입니다.

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"