Learning Compatible Embeddings, ICCV 2021

Last update: Dec 17, 2022

Overview

LCE

Learning Compatible Embeddings, ICCV 2021

by Qiang Meng, Chixiang Zhang, Xiaoqiang Xu and Feng Zhou

We cannot release source codes publicly for the interests of the company. This repo (modified from https://github.com/guxinqian/Simple-ReID) are the codes for the ReID experiments as well as core modules/steps. It should be not hard to implement the method in face recognition based on given codes.

Bibtex

@inproceedings{meng2021lce,
  title={Learning Compatible Embeddings},
  author={Meng, Qiang and Zhang, Chixiang and Xu, Xiaoqiang and Zhou, Feng},
  booktitle=ICCV,
  year=2021
}

An example

Prepare the Market1501 dataset
Train the base model by ./scripts/train.sh.
Train the LCE model by .scripts/train_lce.sh.
Evaluate the performances by ./scripts/test.sh.

Owner

Qiang Meng

GitHub Repository

Disentangled Lifespan Face Synthesis

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Weakly-supervised object detection.

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SegNet-like Autoencoders in TensorFlow

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official code for dynamic convolution decomposition

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This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your username and app/website.

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A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

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Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Parameterized Hypercomplex Graph Neural Networks (PHC-GNNs) PHC-GNNs (Le et al., 2021): https://arxiv.org/abs/2103.16584 PHM Linear Layer Illustration

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Learning Compatible Embeddings, ICCV 2021

Related tags

Overview

LCE

Bibtex

An example

Owner

Qiang Meng

Disentangled Lifespan Face Synthesis

Implements Stacked-RNN in numpy and torch with manual forward and backward functions

Weakly-supervised object detection.

SegNet-like Autoencoders in TensorFlow

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Learning Compatible Embeddings, ICCV 2021

Related tags

Overview

LCE

Bibtex

An example

Owner

Qiang Meng

Disentangled Lifespan Face Synthesis

Implements Stacked-RNN in numpy and torch with manual forward and backward functions

Weakly-supervised object detection.

SegNet-like Autoencoders in TensorFlow

Extreme Rotation Estimation using Dense Correlation Volumes

A Simple Long-Tailed Rocognition Baseline via Vision-Language Model

official code for dynamic convolution decomposition

​ This is the Pytorch implementation of Progressive Attentional Manifold Alignment.

This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your username and app/website.

A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering

Distributional Sliced-Wasserstein distance code

use machine learning to recognize gesture on raspberrypi

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

PoolFormer: MetaFormer is Actually What You Need for Vision

Dirty Pixels: Towards End-to-End Image Processing and Perception

Performant, differentiable reinforcement learning

Automatic tool focused on deriving metallicities of open clusters

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

This is the Pytorch implementation of Progressive Attentional Manifold Alignment.