CVMLL-Awesome's repositories
Pretext
Resource for the survey "A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective"
KG-MM-Survey
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Awesome-Parameter-Efficient-Transfer-Learning
Collection of awesome parameter-efficient fine-tuning resources.
LLM-data-aug-survey
The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Awesome-Data-Centric-Autonomous-Driving
Awesome Data-Driven Autonomous Driving Solutions. Also the official repository of our survey paper: Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies
SAM-for-MedSeg
Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary
Awesome-MIM
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
Awesome-CLIP-in-Medical-Imaging
A Survey on CLIP in Medical Imaging
Awesome-Open-Vocabulary-Object-Detection
A curated list of papers, datasets and resources pertaining to open vocabulary object detection.
Awesome-Quantum-Computer-Vision
A curated list of researches in quantum computer vision
Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
Awesome-TokenMixer-pytorch
Pytorch implementation of various token mixers; Attention Mechanisms, MLP, and etc for understanding computer vision papers and other tasks.
Awesome-GNN4TS
Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
awesome-generative-modeling-under-data-constraints
A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
Awesome-Pruning
A curated list of neural network pruning resources.
label-efficient-il
Awesome-Label-Efficient-CIL
Awesome-Misinfo-Video-Detection
A curated list of works related to Misinformation Video Detection
Awesome-Multi-label-Image-Recognition
Awesome Multi-label Image Recognition Paper List
MultiModal_BigModels_Survey
A continuously updated paper list for multi-modal pre-trained big models