Xin Li

Xin Li

A Learner in Deep Learning

Openstl from zero to master

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Openstl is a third-party library developed by Westlake University for future frame prediction, which integrates multiple SOTA methods such as ConvLstm and simvip. This column will start from scratch and analyze the internal structure and customized modules of the entire Openstl project.

Introduction and Datasets

Introduction and Datasets for openstl

Original Paper Reading Note

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

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MMSA from beginner to proficient

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MMSA is a unified framework for multimodal emotion recognition developed by Tsinghua University. It supports three datasets, MOSI, MOSEI, and CH-SIMS, and 15 multimodal emotion analysis models, as well as tasks such as emotion recognition and emotion intensity regression. This column will use MMSA v1.0 as an example to implement framework analysis and customized modules.

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