futuretwt Goto Github PK

awesome-incremental-learning

Awesome Incremental Learning

best-incremental-learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

bsth

The source code of "Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval." (Accepted by SIGIR 2022)

code-reading

Reading the code of papers.

cross-modal-hashing-retrieval

The baselines of cross-modal hashing retrieval.

cross-modal_retrieval_tutorial

The Paper List of Image-Text Matching for Preliminary Insight.

dbsth

futuretwt

Config files for my GitHub profile.

futuretwt.github.io

My academic personal website.

github-profile-summary-cards-example

github-profile-summary-cards' template

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

hmah

The source code of "Teacher-Student Learning: Efficient Hierarchical Message Aggregation Hashing for Cross-Modal Retrieval." (Accepted by TMM 2022)

image-hashing-baselines

Collect some deep image hashing methods and integrate them into my own baselines.

lagnh

Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval (MM 2021)

multi-modal-hashing-retrieval

The baselines of multi-modal hashing retrieval.

nch

The source code of "Partial Multi-Modal Hashing via Neighbor-aware Completion Learning." (Accepted by TMM 2023)

optimizer

最优化理论实现：（1）单纯性算法（2）运输问题

paper-reading

Take notes on the paper reading

pytorch-geometric-study

关于Pytorch-Geometric的学习，包括官方文档的基本内容和部分API的使用方式，以及官方源码中的示例代码和Pytorch-Geometric的部分源码实现

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

yun-2020

基于多种机器学习模型与深度学习模型的评论文本分类(Reconstruct the old YUN project.)