#计算机科学#An open source implementation of CLIP.
翻译 - CLIP 的开源实现。
#自然语言处理#本项目为CLIP模型的中文版本,使用大规模中文数据进行训练(~2亿图文对),旨在帮助用户快速实现中文领域的图文特征&相似度计算、跨模态检索、零样本图片分类等任务
#计算机科学#Siamese and triplet networks with online pair/triplet mining in PyTorch
翻译 - PyTorch中具有在线对/三胞胎挖掘的连体和三联体网络
#计算机科学#PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
#计算机科学#CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
#计算机科学#Keras implementation of Representation Learning with Contrastive Predictive Coding
PyTorch implementation of the InfoNCE loss for self-supervised learning.
Contrastive Predictive Coding for Automatic Speaker Verification
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
pytorch implementation of scene change detection
#计算机科学#[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet
CLIP (Contrastive Language–Image Pre-training) for Italian
#计算机科学#A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
#计算机科学#Official implementation for "Image Quality Assessment using Contrastive Learning"
#学习与技能提升#[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2...
This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)
#计算机科学#Writer independent offline signature verification using convolutional siamese networks
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)