Official Pytorch Implementation of Relational Self-Attention: What's Missing in Attention for Video Understanding

Related tags

Deep LearningRSA
Overview

Relational Self-Attention: What's Missing in Attention for Video Understanding

This repository is the official implementation of "Relational Self-Attention: What's Missing in Attention for Video Understanding" by Manjin Kim*, Heeseung Kwon*, Chunyu Wang, Suha Kwak, and Minsu Cho (*equal contribution).

RSA

Requirements

  • Python: 3.7.9
  • Pytorch: 1.6.0
  • TorchVision: 0.2.1
  • Cuda: 10.1
  • Conda environment environment.yml

To install requirements:

    conda env create -f environment.yml
    conda activate rsa

Dataset Preparation

  1. Download Something-Something v1 & v2 (SSv1 & SSv2) datasets and extract RGB frames. Download URLs: SSv1, SSv2
  2. Make txt files that define training & validation splits. Each line in txt files is formatted as [video_path] [#frames] [class_label]. Please refer to any txt files in ./data directory.

Training

To train RSANet-R50 on SSv1 or SSv2 datasets in the paper, run this command:

    # For SSv1
    ./scripts/train_Something_v1.sh 
    
    
     
    # example: ./scripts/train_Something_v1.sh RSA_R50_SSV1_16frames 16
    
    # For SSv2
    ./scripts/train_Something_v2.sh 
      
      
       
    # example: ./scripts/train_Something_v2.sh RSA_R50_SSV2_16frames 16

      
     
    
   

Evaluation

To evaluate RSANet-R50 on SSv2 dataset in the paper, run:

    # For SSv1
    ./scripts/test_Something_v1.sh 
    
     
     
      
    # example: ./scripts/test_Something_v1.sh RSA_R50_SSV1_16frames resnet_rgb_model_best.pth.tar 16
    
    # For SSv2
    ./scripts/test_Something_v2.sh 
       
        
        
          # example: ./scripts/test_Something_v2.sh RSA_R50_SSV2_16frames resnet_rgb_model_best.pth.tar 16 
        
       
      
     
    
   

Results

Our model achieves the following performance on Something-Something-V1 and Something-Something-V2:

model dataset frames top-1 / top-5 logs checkpoints
RSANet-R50 SSV1 16 54.0 % / 81.1 % [log] [checkpoint]
RSANet-R50 SSV2 16 66.0 % / 89.9 % [log] [checkpoint]

Qualitative Results

kernel_visualization

Owner
mandos
PH.D. student
mandos
Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020)

Causality In Traffic Accident (Under Construction) Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020) Overview Data Prepa

Tackgeun 21 Nov 20, 2022
CVPR '21: In the light of feature distributions: Moment matching for Neural Style Transfer

In the light of feature distributions: Moment matching for Neural Style Transfer (CVPR 2021) This repository provides code to recreate results present

Nikolai Kalischek 49 Oct 13, 2022
Deep Latent Force Models

Deep Latent Force Models This repository contains a PyTorch implementation of the deep latent force model (DLFM), presented in the paper, Compositiona

Tom McDonald 5 Oct 26, 2022
Implementation of Multistream Transformers in Pytorch

Multistream Transformers Implementation of Multistream Transformers in Pytorch. This repository deviates slightly from the paper, where instead of usi

Phil Wang 47 Jul 26, 2022
KITTI-360 Annotation Tool is a framework that developed based on python(cherrypy + jinja2 + sqlite3) as the server end and javascript + WebGL as the front end.

KITTI-360 Annotation Tool is a framework that developed based on python(cherrypy + jinja2 + sqlite3) as the server end and javascript + WebGL as the front end.

86 Dec 12, 2022
⚡ H2G-Net for Semantic Segmentation of Histopathological Images

H2G-Net This repository contains the code relevant for the proposed design H2G-Net, which was introduced in the manuscript "Hybrid guiding: A multi-re

André Pedersen 8 Nov 24, 2022
JugLab 33 Dec 30, 2022
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment

Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment.

MT Schmitz 2 Feb 11, 2022
TinyML Cookbook, published by Packt

TinyML Cookbook This is the code repository for TinyML Cookbook, published by Packt. Author: Gian Marco Iodice Publisher: Packt About the book This bo

Packt 93 Dec 29, 2022
Blender scripts for computing geodesic distance

GeoDoodle Geodesic distance computation for Blender meshes Table of Contents Overivew Usage Implementation Overview This addon provides an operator fo

20 Jun 08, 2022
Learning Features with Parameter-Free Layers (ICLR 2022)

Learning Features with Parameter-Free Layers (ICLR 2022) Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo | Paper NAVER AI Lab, NAVER CLOVA Up

NAVER AI 65 Dec 07, 2022
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

AutoAugment - Learning Augmentation Policies from Data Unofficial implementation of the ImageNet, CIFAR10 and SVHN Augmentation Policies learned by Au

Philip Popien 1.3k Jan 02, 2023
PyTorch implementation(s) of various ResNet models from Twitch streams.

pytorch-resnet-twitch PyTorch implementation(s) of various ResNet models from Twitch streams. Status: ResNet50 currently not working. Will update in n

Daniel Bourke 3 Jan 11, 2022
Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

VAE with Volume-Preserving Flows This is a PyTorch implementation of two volume-preserving flows as described in the following papers: Tomczak, J. M.,

Jakub Tomczak 87 Dec 26, 2022
Code for CMaskTrack R-CNN (proposed in Occluded Video Instance Segmentation)

CMaskTrack R-CNN for OVIS This repo serves as the official code release of the CMaskTrack R-CNN model on the Occluded Video Instance Segmentation data

Q . J . Y 61 Nov 25, 2022
李云龙二次元风格化!打滚卖萌,使用了animeGANv2进行了视频的风格迁移

李云龙二次元风格化!一键star、fork,你也可以生成这样的团长! 打滚卖萌求star求fork! 0.效果展示 视频效果前往B站观看效果最佳:李云龙二次元风格化: github开源repo:李云龙二次元风格化 百度AIstudio开源地址,一键fork即可运行: 李云龙二次元风格化!一键fork

oukohou 44 Dec 04, 2022
This repository contains the implementation of the paper: Federated Distillation of Natural Language Understanding with Confident Sinkhorns

Federated Distillation of Natural Language Understanding with Confident Sinkhorns This repository provides an alternative method for ensembled distill

Deep Cognition and Language Research (DeCLaRe) Lab 11 Nov 16, 2022
Navigating StyleGAN2 w latent space using CLIP

Navigating StyleGAN2 w latent space using CLIP an attempt to build sth with the official SG2-ADA Pytorch impl kinda inspired by Generating Images from

Mike K. 55 Dec 06, 2022
Faune proche - Retrieval of Faune-France data near a google maps location

faune_proche Récupération des données de Faune-France près d'un lieu google maps

4 Feb 15, 2022
Collection of Docker images for ML/DL and video processing projects

Collection of Docker images for ML/DL and video processing projects. Overview of images Three types of images differ by tag postfix: base: Python with

OSAI 87 Nov 22, 2022