Starred repositories
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Awesome things about domain generalization, including papers, code, etc.
A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)
This is a comprehensive survey of incompate multi-view clustering algorithms.
Methods and Implements of Deep Clustering
High-Resolution Image Synthesis with Latent Diffusion Models
Zotero plugin providing some additional editing features
A collection of incomplete multi-view clustering paper
PyTorch implementation for Dual Contrastive Prediction for Incomplete Multi-view Representation Learning (TPAMI'22)
justsmart / Multi-View-Multi-Label-Model-Collections
Forked from A11en0/Multi-View-Multi-Label-Model-CollectionsMulti-View Multi-Label Model Collections
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Video classification tools using 3D ResNet
Pytorch porting of C3D network, with Sports1M weights
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
Video Contrastive Learning with Global Context, ICCVW 2021
A curated list of deep learning resources for video-text retrieval.
Code for the AVLnet (Interspeech 2021) and Cascaded Multilingual (Interspeech 2021) papers.
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]
The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"