Official Code Release for Container : Context Aggregation Network

Last update: Nov 17, 2021

Related tags

Deep Learning Container

Overview

Container: Context Aggregation Network

Official Code Release for Container : Context Aggregation Network

Comparion between CNN, MLP-Mixer and Transformer

Best of both worlds

Code release:

Imagenet pretrained model for Container V1 : Container V1
Imagenet pretrained model for Container V2 : Container V2

Citation

If you find this repository useful, please consider citing our work:

@article{gao2021container,
  title={Container: Context Aggregation Network},
  author={Gao, Peng and Lu, Jiasen and Li, Hongsheng and Mottaghi, Roozbeh and Kembhavi, Aniruddha},
  journal={arXiv preprint arXiv:2106.01401},
  year={2021}
}

News

Container got accepted by Neuips 2021.

Contributor

Peng Gao

Acknowledgement

The codebase are borrowed heavyily from DeiT.

Owner

peng gao

Young Scientist at Shanghai AI Lab

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Official Code Release for Container : Context Aggregation Network

Related tags

Overview

Container: Context Aggregation Network

Comparion between CNN, MLP-Mixer and Transformer

Best of both worlds

Citation

News

Contributor

Acknowledgement

Owner

peng gao

Semi-supevised Semantic Segmentation with High- and Low-level Consistency

MMdet2-based reposity about lightweight detection model: Nanodet, PicoDet.

Release of the ConditionalQA dataset

An end-to-end PyTorch framework for image and video classification

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

This repository contains all code and data for the Inside Out Visual Place Recognition task

A rule learning algorithm for the deduction of syndrome definitions from time series data.

U-Net Brain Tumor Segmentation

A library of extension and helper modules for Python's data analysis and machine learning libraries.

A Flow-based Generative Network for Speech Synthesis

Continual World is a benchmark for continual reinforcement learning

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

MarcoPolo is a clustering-free approach to the exploration of bimodally expressed genes along with group information in single-cell RNA-seq data

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