Xin Dong's repositories
autodriver
第一次上传。
Awesome-Domain-Generalization
A collection of awesome things about domain generalization, including papers, code, etc.
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
causal_emotion
[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
deit
Official DeiT repository
EPCR
The official code of <Consistency Regularization for Deep Face Anti-Spoofing>
Face-Anti-Spoofing-using-DeePixBiS
Anti-Spoofing for Face Recognition task using the Deep Pixel-wise Binary Supervision Technique
facenet-pytorch-1
这是一个facenet-pytorch的库，可以用于训练自己的人脸识别模型。
FateZero
Pytorch Implementation for [ICCV 2023] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
imbalanced-regression
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
loveu-tgve-2023
Official GitHub repository for the Text-Guided Video Editing (TGVE) competition of LOVEU Workshop @ CVPR'23.
paper-reading
深度学习经典、新论文逐段精读
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Text2Video-Zero
[ICCV 2023] Text-to-Image Diffusion Models are Zero-Shot Video Generators
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
useful-computer-vision-phd-resources
Lists of resources useful for my PhD in computer vision
vid2vid-zero
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Video-P2P
Video-P2P: Video Editing with Cross-attention Control
VisualizingNDF
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch