Modular framework for developing image models based on PyTorch. Customize your model with combinations and replacement on classification / detection modules.
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Updated
Jan 7, 2023 - Python
Modular framework for developing image models based on PyTorch. Customize your model with combinations and replacement on classification / detection modules.
PyTorch-based framework for high-level development of image models. Customize your model with combinations and replacement on classification / detection modules.
Implement a few key architectures for image classification by using neural network
This project partially embodies the state-of-the-art practices in speaker verification technology up until 2020, while attaining the state-of-the-art performance on the VoxCeleb1 test sets.
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
Res2Net for Pose Estimation using Simple Baselines as the baseline
Res2Net for Instance segmentation and Object detection using MaskRCNN
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
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