Lists (2)
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High-order nonlocal Hashing for unsupervised cross-modal retrieval
Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval
基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
This project summarizes the CLIP-based cross-modal hashing methods. Including DCMHT, MITH, DSPH, DNPH, TwDH (Two-Step Discrete Hashing for Cross-Modal Retrieval).
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm…
The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.
Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm…
latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)
Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)
Quantitative evaluation of disentangled representations
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
A curated list of research papers related to learning disentangled representations
A curated paper list for information-theoretic representation learning.
PyTorch implementation of the InfoNCE loss for self-supervised learning.
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
Mutual Information Neural Estimation in Pytorch
Source code for TMM paper “Deep Neighborhood-Preserving Hashing With Quadratic Spherical Mutual Information for Cross-Modal Retrieval”
This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE
Keras implementation of Representation Learning with Contrastive Predictive Coding
PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
The official implementation of Achieving Cross Modal Generalization with Multimodal Unified Representation (NeurIPS '23)
source code for "Deep adversarial discrete hashing for cross-modal retrieval"