contrastive-loss

An open source implementation of CLIP.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Siamese and triplet networks with online pair/triplet mining in PyTorch

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

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch implementation of the InfoNCE loss for self-supervised learning.

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet

CLIP (Contrastive Language–Image Pre-training) for Italian

A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network

Official implementation for "Image Quality Assessment using Contrastive Learning"

[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. 2215-2221.

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)

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)