Topic: contrastive-loss Goto Github
Some thing interesting about contrastive-loss
Some thing interesting about contrastive-loss
contrastive-loss,Siamese and triplet networks with online pair/triplet mining in PyTorch
User: adambielski
contrastive-loss,Writer independent offline signature verification using convolutional siamese networks
User: aftaab99
contrastive-loss,keras implementation of metric-based methods (center-loss, circle-loss, triplets...)
User: amberzzzz
contrastive-loss,This repo is the code of paper "Model-Aware Contrastive Learning: Towards Escaping Dilemmas" (ICML'2023).
User: chenhaoxing
contrastive-loss,CLIP (Contrastive Language–Image Pre-training) for Italian
Organization: clip-italian
contrastive-loss,[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.
Organization: csiro-robotics
Home Page: https://arxiv.org/abs/2109.08336
contrastive-loss,This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Organization: csiro-robotics
Home Page: https://csiro-robotics.github.io/TCE-Webpage/
contrastive-loss,Keras implementation of Representation Learning with Contrastive Predictive Coding
User: davidtellez
contrastive-loss,One Shot Learning with Siamese Neural Networks + Triplet Siamese Neural Networks on Dark Web Images
User: dimosmellios
contrastive-loss,Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction
User: drlib
contrastive-loss,The implement for paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval"
User: flyinghu123
Home Page: https://arxiv.org/abs/2308.06748v1
contrastive-loss,pytorch implementation of scene change detection
User: gmayday1997
contrastive-loss,An implementation of Contrastive Loss in PyTorch using Siamese Networks
User: harshsulakhe
contrastive-loss,[ACM MM 2024] Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"
User: he-changhao
contrastive-loss,SketchZoo is a project that utilizes Siamese neural networks for efficient animal image retrieval. With the power of contrastive and triplet loss functions, SketchZoo accurately matches hand-drawn animal sketches to corresponding images. It also provides a user-friendly GUI interface for convenient image retrieval based on sketches
User: isbre
contrastive-loss,4th place solution for the Google Universal Image Embedding Kaggle Challenge. Instance-Level Recognition workshop at ECCV 2022
User: ivanaer
contrastive-loss,[ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet
User: jarrentwu1031
contrastive-loss,Contrastive Predictive Coding for Automatic Speaker Verification
User: jefflai108
contrastive-loss,Official companion repository for the paper "A Metric Learning Approach to Misogyny Categorization" at the 5th Workshop on Representation Learning for NLP, ACL 2020
User: juanmc2005
Home Page: https://www.aclweb.org/anthology/2020.repl4nlp-1.12/
contrastive-loss,Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
User: juanmc2005
contrastive-loss,official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
User: justchenhao
contrastive-loss,A PyTorch implementation of NPID based on CVPR 2018 paper "Unsupervised Feature Learning via Non-Parametric Instance Discrimination"
User: leftthomas
contrastive-loss,A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
User: leftthomas
contrastive-loss,[T-CSVT 2021] Domain Contrast for Domain Adaptive Object Detection
User: liewfeng
contrastive-loss,A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
User: lucidrains
contrastive-loss,CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
User: mishalaskin
contrastive-loss,An open source implementation of CLIP.
Organization: mlfoundations
contrastive-loss,Re-implementation of Intriguing Properties of Contrastive Losses paper
User: mona251
contrastive-loss,Task Agnostic Unsupervised Learning
User: nikheelpandey
contrastive-loss,PyTorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
User: nitarshan
Home Page: https://arxiv.org/abs/2002.05709
contrastive-loss,Person re-identification project with three suggested models, which implemented using yolo, opencv, tensorflow, etc.
User: nofaralfasi
contrastive-loss,Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Organization: ofa-sys
contrastive-loss,A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Organization: ofa-sys
contrastive-loss,Official implementation for "Image Quality Assessment using Contrastive Learning"
User: pavancm
contrastive-loss,Official implementation for "CONVIQT: Contrastive Video Quality Estimator"
User: pavancm
contrastive-loss,
User: pducanh2000
contrastive-loss,[CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model
Organization: perceptioncomputinglab
contrastive-loss,Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition
User: phillity
contrastive-loss,Classifies the forged and original pairs of signatures by calculating the Eucledian Distance between the output tensors of both the images using a Siamese Network.
User: rahul1582
contrastive-loss,PyTorch implementation of the InfoNCE loss for self-supervised learning.
User: relbers
contrastive-loss,This repository contains the ipynb for a project on deep learning visual classification of food categories
User: samtwl
contrastive-loss,PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
User: sarthak268
contrastive-loss,Text Classification Using Siamese Neural Networks - Contrastive Loss, Triplet Loss. This architecture works well when the training data is less.
User: sauravjoshi23
contrastive-loss,PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
User: sthalles
Home Page: https://sthalles.github.io/simple-self-supervised-learning/
contrastive-loss,TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
User: sthalles
Home Page: https://sthalles.github.io/simple-self-supervised-learning/
contrastive-loss,S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
User: szq0214
contrastive-loss,Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).
User: tatamoktari
Home Page: https://ieeexplore.ieee.org/abstract/document/10007935
contrastive-loss,COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
User: xavierfav
contrastive-loss,PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
User: xlearning-scu
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