Pinned Repositories
ACDNE
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
BLIP-and-CLIP-interrogator
Image to prompt with BLIP and CLIP
blip-inference
Pretrained BLIP with a similar API to CLIP.
correct_twice_at_once
[ACM MM2022] Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning
docta
A Doctor for your data
LiFT
[ACM MM2023] LiFT
Multi_Class_UDA
TOMM [Target structure learning framework for unsupervised multi-class domain adaptation]
NaCL
[Machine Learning 2023] NaCL: Noise-Robust Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
jingzhengli's Repositories
jingzhengli/NaCL
[Machine Learning 2023] NaCL: Noise-Robust Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation
jingzhengli/BLIP-and-CLIP-interrogator
Image to prompt with BLIP and CLIP
jingzhengli/blip-inference
Pretrained BLIP with a similar API to CLIP.
jingzhengli/correct_twice_at_once
[ACM MM2022] Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning
jingzhengli/docta
A Doctor for your data
jingzhengli/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
jingzhengli/anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
jingzhengli/awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
jingzhengli/BUAAThesis
北航研究生学位论文模板（Word+LaTeX）.
jingzhengli/image-captioning
Image captioning using python and BLIP
jingzhengli/LFC_x
[Machine Learning 2022] Beyond confusion matrix: learning from multiple annotators with awareness of instance features
jingzhengli/LiFT
[ACM MM2023] LiFT
jingzhengli/Multi_Class_UDA
TOMM [Target structure learning framework for unsupervised multi-class domain adaptation]
jingzhengli/awesome-prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
jingzhengli/captionr
GIT/BLIP/CLIP Caption tool
jingzhengli/carla
Open-source simulator for autonomous driving research.
jingzhengli/CLIP_Surgery
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
jingzhengli/Imbalance-VLM
jingzhengli/ISAT_with_segment_anything
（图像分割标注工具，支持语义分割与实例分割，集成segment anything，实现快速图像分割标注）
jingzhengli/jingzhengli.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
jingzhengli/labelbee
LabelBee is an annotation Library
jingzhengli/MM-REACT
Official repo for MM-REACT
jingzhengli/noisy_labels
jingzhengli/PyCIL-Class-Incremental-Learning
PyCIL: A Python Toolbox for Class-Incremental Learning
jingzhengli/salt
Segment Anything Labelling Tool
jingzhengli/SpireView
image data annotation, preprocessing, visualization
jingzhengli/Tag2Text
Code for paper: Tag2Text: Guiding Vision-Language Model via Image Tagging
jingzhengli/test
jingzhengli/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
jingzhengli/ziplab.github.io
This is the website project for Zhuang Intelligent Processing Lab