The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A python library for self-supervised learning on images.

Code for ALBEF: a new vision-language pre-training method

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]

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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.

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

(CVPR 2021 Oral) Open World Object Detection

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

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

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.

A concise but complete implementation of CLIP with various experimental improvements from recent papers

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation