240 Open source projects that are alternatives of or similar to Semantic Embeddings

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

📜 Self-Supervised Learning from Images: Up-to-date reading list.

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Semantic Entity Retrieval Toolkit

📝Awesome and classical image retrieval papers

SOTA Re-identification Methods and Toolbox

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CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Diffusion on manifolds for image retrieval

representation learning on attributed graphs

Putting LIRE into Solr - an ongoing project

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CNN CBIR benchmark (ongoing)

ICE: Item Concept Embedding

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

PyTorch Blog Post On Image Similarity Search

(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.

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Person re-ID baseline with triplet loss

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Knowledge Management for Humans using Machine Learning & Tags

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

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

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Datasets, tools, and benchmarks for representation learning of code.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Wrapper of DELF Tensorflow Model

A C++11 multithread library for image retrieval

WebExtension for the Anime Reverse Search Engine to search by image

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

ConMask model described in paper Open-world Knowledge Graph Completion.

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

Awesome Transformers (self-attention) in Computer Vision

vehicle image retrieval using k CNNs ensemble method

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization. 🌏 PyTorch open-source toolbox for image-based localization (place recognition).

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Deforming kernels to adapt towards object deformation. In ICLR 2020.

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

2020华为DIGIX全球校园AI算法精英大赛计算机视觉赛道第三名解决方案

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Implementation of VLAE

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.