ximi2018
Follow
Stars
[CVPR 2021] Official repository for "Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing"
code and trained models for "Attentional Feature Fusion"
The source code for the CVPR2020 paper "Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing".
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
Generalized Mean Pooling implementation for Keras
Source codes for the paper "Learning Diverse Features with Part-Level Resolution for Person Re-Identification"
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
Source code for paper "Deep Supervised Discrete Hashing" on NeurIPS-2017
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
Source code for paper "Supervised Discrete Hashing" on CVPR-2015
An implement of Non-local neural networks for tensorflow version
Implement CBAM：Convolutional Block Attention Module with TensorFlow
这是一个关于软件测试面试题目的列表，收集了关于测试理论，自动化测试，性能测试以及其他一些软件测试相关的面试题目。
Semantic Structure-based Unsupervised Deep Hashing IJCAI2018
source code for paper "Deep Incremental Hashing Network for Efficient Image Retrieval" on CVPR-2019
HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval
Implementation of Weakly Supervised Deep Image Hashing through Tag Embeddings
The implementation of IJCAI-2017 paper "Discriminative Deep Hashing for Face Image Retrieval"
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016
Implementation of Deep Residual Hashing Network for Image Retrieval