[AAAI 2021] MVFNet: Multi-View Fusion Network for Efficient Video Recognition

Related tags

Deep LearningMVFNet
Overview

MVFNet: Multi-View Fusion Network for Efficient Video Recognition (AAAI 2021)

1

Overview

We release the code of the MVFNet (Multi-View Fusion Network). The core code to implement the Multi-View Fusion Module is codes/models/modules/MVF.py.

[Mar 24, 2021] We has released the code of MVFNet.

[Dec 20, 2020] MVFNet has been accepted by AAAI 2021.

Prerequisites

All dependencies can be installed using pip:

python -m pip install -r requirements.txt

Our experiments run on Python 3.7 and PyTorch 1.5. Other versions should work but are not tested.

Download Pretrained Models

  • Download ImageNet pre-trained models
cd pretrained
sh download_imgnet.sh
  • Download K400 pre-trained models

Please refer to Model Zoo.

Data Preparation

Please refer to DATASETS.md for data preparation.

Model Zoo

Architecture Dataset T x interval Top-1 Acc. Pre-trained model Train log Test log
MVFNet-ResNet50 Kinetics-400 4x16 74.2% Download link Log link Log link
MVFNet-ResNet50 Kinetics-400 8x8 76.0% Download link Miss Log link
MVFNet-ResNet50 Kinetics-400 16x4 77.0% Download link Log link Log link
MVFNet-ResNet101 Kinetics-400 4x16 76.0% Download link Log link Log link
MVFNet-ResNet101 Kinetics-400 8x8 77.4% Download link Log link Log link
MVFNet-ResNet101 Kinetics-400 16x4 78.4% Download link Log link Log link

Testing

  • For 3 crops, 10 clips, the processing of testing
# Dataset: Kinetics-400
# Architecture: R50_8x8 [email protected]=76.0%
bash scripts/dist_test_recognizer.sh configs/MVFNet/K400/mvf_kinetics400_2d_rgb_r50_dense.py ckpt_path 8 --fcn_testing

Training

This implementation supports multi-gpu, DistributedDataParallel training, which is faster and simpler.

  • For example, to train MVFNet-ResNet50 on Kinetics400 with 8 gpus, you can run:
bash scripts/dist_train_recognizer.sh configs/MVFNet/K400/mvf_kinetics400_2d_rgb_r50_dense.py 8

Acknowledgements

We especially thank the contributors of the mmaction codebase for providing helpful code.

License

This repository is released under the Apache-2.0. license as found in the LICENSE file.

Citation

If you think our work is useful, please feel free to cite our paper 😆 :

@inproceedings{wu2020MVFNet,
  author    = {Wu, Wenhao and He, Dongliang and Lin, Tianwei and Li, Fu and Gan, Chuang and Ding, Errui},
  title     = {MVFNet: Multi-View Fusion Network for Efficient Video Recognition},
  booktitle = {AAAI},
  year      = {2021}
}

Contact

For any question, please file an issue or contact

Wenhao Wu: [email protected]
You might also like...
This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

3D-CVF This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object

YecheolKim 97 Dec 20, 2022
AdaFocus (ICCV 2021) Adaptive Focus for Efficient Video Recognition
AdaFocus (ICCV 2021) Adaptive Focus for Efficient Video Recognition

AdaFocus (ICCV 2021) This repo contains the official code and pre-trained models for AdaFocus. Adaptive Focus for Efficient Video Recognition Referenc

Rainforest Wang 115 Dec 21, 2022
the code of the paper: Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)
the code of the paper: Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)

RMA-Net This repo is the implementation of the paper: Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021). Paper

Wanquan Feng 205 Nov 9, 2022
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Rex Cheng 364 Jan 3, 2023
Official code for
Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

EagerMOT: 3D Multi-Object Tracking via Sensor Fusion Read our ICRA 2021 paper here. Check out the 3 minute video for the quick intro or the full prese

Aleksandr Kim 276 Dec 30, 2022
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral)

DSA^2 F: Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral) This repo is the official imp

如今我已剑指天涯 46 Dec 21, 2022
《LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification》(AAAI 2021) GitHub:

LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification

null 76 Dec 5, 2022
We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances to transformations applied to both the audio and video streams.

Multi-Modal Self-Supervision using GDT and StiCa This is an official pytorch implementation of papers: Multi-modal Self-Supervision from Generalized D

Facebook Research 42 Dec 9, 2022
Implementation of
Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).

RMNet This repository contains the source code for the paper Efficient Regional Memory Network for Video Object Segmentation. Cite this work @inprocee

Haozhe Xie 76 Dec 14, 2022
Comments
  • Is this right for the test configuration?

    Is this right for the test configuration?

    Hi I noticed your great job for action recognition from AAAI 2021. And I am trying to get the test results as yours on Kinetics400. After I have processed all the test videos to get the frames, I found that there is no annotation processing for kinetics400 test set up, neither in your configuration file. Could you share the test annotation for Kinetics400 and explain why using validation for test? https://github.com/whwu95/MVFNet/blob/ed336228ad88821ffe407a4355017acb416e4670/configs/MVFNet/K400/mvf_kinetics400_2d_rgb_r50_dense.py#L58 https://github.com/whwu95/MVFNet/blob/ed336228ad88821ffe407a4355017acb416e4670/configs/MVFNet/K400/mvf_kinetics400_2d_rgb_r50_dense.py#L145

    ann_file_test = 'datalist/kinetics400/val_ffmpeg_fps30.txt'
...
test=dict(
        type=dataset_type,
        ann_file=ann_file_test,
        data_root=data_root_val,
        pipeline=test_pipeline, 
        test_mode=True,
        modality='RGB',
        filename_tmpl='img_{:05}.jpg'    ))

    Thanks a lot!

    opened by DanLuoNEU 2
  • About online recognition

    About online recognition

    Thank you for your great work. My question is that the mvf module needs to use convolution among multi-view dimensions,especially contains T dimension. If we want to apply the model into online recognition, it is difficult to store too many history frames. So how to apply it to the online recognition?Thank you.

    opened by ohheysherry66 0
Owner
Wenhao Wu
Wenhao Wu
GitHub Repository
Churn prediction

Churn-prediction Churn-prediction Data preprocessing:: Label encoder is used to normalize the categorical variable Data Transformation:: For each data

1 Sep 28, 2022
PyG (PyTorch Geometric) - A library built upon PyTorch to easily write and train Graph Neural Networks (GNNs)

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

PyG 16.5k Jan 08, 2023
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

OpenFace 2.2.0: a facial behavior analysis toolkit Over the past few years, there has been an increased interest in automatic facial behavior analysis

Tadas Baltrusaitis 5.8k Dec 31, 2022
Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.

Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.

Wilson 1.7k Dec 30, 2022
Vignette is a face tracking software for characters using osu!framework.

Vignette is a face tracking software for characters using osu!framework. Unlike most solutions, Vignette is: Made with osu!framework, the game framewo

Vignette 412 Dec 28, 2022
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles This project is for the paper: Detecting Errors and Estimating

Jiefeng Chen 13 Nov 21, 2022
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks

YOLOR implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks To reproduce the results in the paper, please us

Kin-Yiu, Wong 1.8k Jan 04, 2023
Multi-task yolov5 with detection and segmentation based on yolov5

YOLOv5DS Multi-task yolov5 with detection and segmentation based on yolov5(branch v6.0) decoupled head anchor free segmentation head README中文 Ablation

150 Dec 30, 2022
This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit

BMW Semantic Segmentation GPU/CPU Inference API This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit. The train

BMW TechOffice MUNICH 56 Nov 24, 2022
Official Repository for "Robust On-Policy Data Collection for Data Efficient Policy Evaluation" (NeurIPS 2021 Workshop on OfflineRL).

Robust On-Policy Data Collection for Data-Efficient Policy Evaluation Source code of Robust On-Policy Data Collection for Data-Efficient Policy Evalua

Autonomous Agents Research Group (University of Edinburgh) 2 Oct 09, 2022
Multi-tool reverse engineering collaboration solution.

CollaRE v0.3 Intorduction CollareRE is a tool for collaborative reverse engineering that aims to allow teams that do need to use more then one tool du

105 Nov 27, 2022
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

Auto-Seg-Loss By Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai This is the official implementation of the ICLR 2021 paper Auto

61 Dec 21, 2022
Real-time object detection on Android using the YOLO network with TensorFlow

TensorFlow YOLO object detection on Android Source project android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is

Nataniel Ruiz 624 Jan 03, 2023
This is an example of object detection on Micro bacterium tuberculosis using Mask-RCNN

Mask-RCNN on Mycobacterium tuberculosis This is an example of object detection on Mycobacterium Tuberculosis using Mask RCNN. Implement of Mask R-CNN

Jun-En Ding 1 Sep 16, 2021
A library for answering questions using data you cannot see

A library for computing on data you do not own and cannot see PySyft is a Python library for secure and private Deep Learning. PySyft decouples privat

OpenMined 8.5k Jan 02, 2023
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.

TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans

旷视研究院 3D 组 155 Dec 29, 2022
Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions

Aquarius Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions NOTE: We are currently going through the open-source process requir

Zhiyuan YAO 0 Jun 02, 2022
Generative Flow Networks for Discrete Probabilistic Modeling

Energy-based GFlowNets Code for Generative Flow Networks for Discrete Probabilistic Modeling by Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Vo

Narsil-Dinghuai Zhang 51 Dec 20, 2022
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi

The Institute for Ethical Machine Learning 12.9k Jan 04, 2023
Hyperparameter tuning for humans

KerasTuner KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily c

Keras 2.6k Dec 27, 2022