Mingqi Gao's repositories
Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Awesome-Video-Object-Segmentation
A curated list of video object segmentation (vos) papers, datasets, and projects.
VOS-Review
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
Chan-Vese-model
A MATLAB implementation of Chan-Vese model for image segmentation, using the idea proposed by Chan and Vese.
NNforMNIST
A 3-layer Fully Connected Neural Network for MNIST Classification, implemented using Python 3.5 and Numpy.
playground
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
min-char-rnn
A RNN model for character prediction.