1113 Open source projects that are alternatives of or similar to Similarity-Adaptive-Deep-Hashing

Supervised Semantics-preserving Deep Hashing (TPAMI18)

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

DilatedNet in Keras for image segmentation

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

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LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

A lightweight framework using binary hash codes and deep learning for fast image retrieval.

No dependency caffe replacement

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

Active Convolution

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Caffe implementation for "Guided Optical Flow Learning"

PyTorch Blog Post On Image Similarity Search

CNN model inference benchmarks for some popular deep learning frameworks

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Visualizer for neural network, deep learning, and machine learning models

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

Traffic Sign Recognition - Fine tuning VGG16 + GTSRB

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

A flask website for style transfer

Find nodes in hierarchical clustering that are statistically significant

Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets

Deep-learning approaches to object recognition from 3D data

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Chainer implementation of deep-INFOMAX

Official python agent for using the distributed hashcracker Hashtopolis

Research papers on ML for security

Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).

Collection of deep learning demos based on neworks from the Caffe Zoo

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Model for learning document embeddings along with their uncertainties

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

Product-Aware Answer Generation in E-Commerce Question-Answering

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Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

This repo is meant for backend API for face comparision and computer vision. It is built on python flask framework

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