🔥 Latest advances in Video Object Segmentation (VOS) – papers, datasets, and projects.
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A MATLAB implementation of Chan-Vese model for image segmentation, using the idea proposed by Chan and Vese.
[IEEE T-CSVT] Decoupled Multimodal Transformers (DMFormer) for Referring Video Object Segmentation
[ICIP 2016] A MATLAB implementation of the texture segmentation method in paper: "A factorization based active contour model for texture segmentation", IEEE International Conference on Image Processing (ICIP 2016).
A 3-layer Fully Connected Neural Network for MNIST Classification, implemented using Python 3.5 and Numpy.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
YouTube Untrimmed Referring Video Object Segmentation
A RNN model for character prediction.
🏂 Training-Free Human Mesh Recovery from Videos, based on SAM-3, Diffusion-VAS, and SAM-3D-Body.