188 Open source projects that are alternatives of or similar to Batch Dropblock Network

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

A PyTorch library for benchmarking deep metric learning. It's powerful.

Open source person re-identification library in python

SOTA Re-identification Methods and Toolbox

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

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

TOMM2020 Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

人工智障本地图片检索工具 | An EfficientNet based image retrieval tool

PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020

Adversarially Occluded Samples for Person Re-identification, CVPR 2018

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

A CNN feature based image retrieval website

Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

A distributed visual search and visual data analytics platform.

Using siamese network to do dimensionality reduction and similar image retrieval

Incremental Learning in Person Re-Identification

Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Provide mapping and localization pipelines based on kapture format

Anime Scene Search by Image

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Comparison of famous convolutional neural network models

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Adversarial Ranking Attack and Defense, ECCV, 2020.

scLearn：Learning for single cell assignment

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Playground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.

Code for NeurIPS 2019 Paper

Finetuning any DNN for better embedding on neural search tasks

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Local Fisher Discriminant Analysis in R

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

Group-View Convolutional Neural Networks for 3D Shape Recognition

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Papers and Codes about Deep Metric Learning/Deep Embedding

Exploring the connections between artworks with deep "Visual Analogies"

A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

This Telegram Bot can tell the anime when you send an screenshot to it

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

RMAC implementation in Keras

Generalized Deep Metric Learning.

Challenge the customer to shop task with tripletNet

Project page for Heated-up Softmax Embedding

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering