#计算机科学#The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
翻译 - 在应用程序中使用深度度量学习的最简单方法。模块化,灵活和可扩展。写在PyTorch中。
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
翻译 - SimCLRv2-大型自我监督模型是强大的半监督学习者
#计算机科学#A python library for self-supervised learning on images.
翻译 - 用于自我监督学习的python库。
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
Code for ALBEF: a new vision-language pre-training method
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
#计算机科学#This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
#计算机科学#Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
#向量搜索引擎#Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
A contrastive learning based semi-supervised segmentation network for medical image segmentation
(CVPR 2021 Oral) Open World Object Detection
翻译 - (CVPR 2021口头)打开世界对象检测
#计算机科学#TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
翻译 - TensorFlow Similarity 是一个 Python 包,专注于使相似性学习变得快速而简单。
#计算机科学#Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
#计算机科学#PyGCL: A PyTorch Library for Graph Contrastive Learning
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
#计算机科学#A concise but complete implementation of CLIP with various experimental improvements from recent papers
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation