https://github.com/amazon-science/contrastive_emc2
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
https://github.com/924973292/awesome-multi-modal-object-re-identification
Welcome to the Awesome Multi-Modal Object Re-Identification Repository! This repository is dedicated to curating and sharing the latest methods, datasets, and resources focused specifically on the domain of multi-modal object re-identification. It brings together cutting-edge research, tools, and papers aimed at advancing the study and application.
https://github.com/924973292/editor
【CVPR2024】Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
kg-mm-survey
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
disruption-prediciton-based-on-multimodal-deep-learning
Research-repository: Disruption Prediction and Analysis through Multimodal Deep Learning in KSTAR
https://github.com/924973292/idea
【CVPR2025】IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
https://github.com/ammarlodhi255/metadata-augmented-neural-networks-for-wild-animal-classification
This repository contains the implementation code for the paper "Metadata Augmented Neural Networks For Wild Animal Classification": https://www.sciencedirect.com/science/article/pii/S1574954124003479.