Liu Yuxuan's starred repositories
CV-Surveys
计算机视觉相关综述。包括目标检测、跟踪........
awesome-multiple-object-tracking
Resources for Multiple Object Tracking (MOT)
Awesome-LLMs-for-Video-Understanding
🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
paper-reading
深度学习经典、新论文逐段精读
Awesome-VLGFM
A Survey on Vision-Language Geo-Foundation Models (VLGFMs)
Awesome-Open-Vocabulary
(TPAMI 2024) A Survey on Open Vocabulary Learning
Awesome-Open-Vocabulary-Detection-and-Segmentation
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
UCAS_Course_2019
**科学院大学2019-2020课程（秋季，春季，夏季）
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
scene_graph_benchmark
image scene graph generation benchmark
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
DeepLearningPapersTranslation
深度学习经典论文翻译
VisDrone-Dataset
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
graph-rcnn.pytorch
[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
BIT-AI-Review
本项目分享了本人在北京理工大学计算机学院人工智能专业的相关课程资料与经验分享。希望对你们有所帮助❤️，如果喜欢的话记得给个star哦🌟
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.