There are 1 repository under res2net topic.
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
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
Res2Net for Instance segmentation and Object detection using MaskRCNN
Res2Net for Pose Estimation using Simple Baselines as the baseline
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
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.
Use pytorch to implement some classifer network
PyTorch-based framework for high-level development of image models. Customize your model with combinations and replacement on classification / detection modules.
The mxnet implemention of the paper Res2Net with gluon interface.
Modular framework for developing image models based on PyTorch. Customize your model with combinations and replacement on classification / detection modules.