(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"

Overview

SSR

(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductivefew-shot classification"

[Paper] [Project webpage] [Video] [Slide]

teaser

The project is an extension work to SIB. If our project is helpful for your research, please consider citing :

@inproceedings{shen2021reranking,
  title={Re-ranking for image retrieval and transductive few-shot classification},
  author={Shen, Xi and Xiao, Yang and Hu, Shell Xu, and Sbai, Othman and Aubry, Mathieu},
  booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
  year={2021}
}

Table of Content

1. Installation

Code is tested under Pytorch > 1.0 + Python 3.6 environment.

Please refer to image retrieval and transductive few-shot classification to download datasets.

2. Methods and Results

SSR learns updates for a similarity graph.

It decomposes the N * N similarity graph into N subgraphs where rows and columns of the matrix are ordered depending on similarities to the subgraph reference image.

The output of SSR is an improved similarity matrix.

teaser

2.1 Image retrieval

2.1.1 SSR module

Rows : the subgraph reference image (red) and the query image (green);

Columns : top retrieved images of the query image (green). These images are ordered according to the reference image (red).

teaser

2.1.2 Results

To reproduce the results on image retrieval datasets (rOxford5k, rParis6k), please refer to Image Retrieval

teaser

2.2 Transductive few-shot classification

2.2.1 SSR module

We illustrate our idea with an 1-shot-2way example:

Rows: the subgraph reference image (red) and the support set S;

Columns: the support set S and the query set Q. Both S and Q are ordered according to the reference image (red).

teaser

2.2.2 Results

To reproduce the results on few-shot datasets (CIFAR-FS, Mini-ImageNet, TieredImageNet), please refer to transductive few-shot classification

teaser

3. Acknowledgement

  • The implementation of k-reciprocal is adapted from its public code

  • The implementation of few-shot training, evaluation and synthetic gradient is adapted from SIB

4. ChangeLog

  • 21/10/29, model, evaluation + training released

5. License

This code is distributed under an MIT LICENSE.

Note that our code depends on Pytorch, and uses datasets which each have their own respective licenses that must also be followed.

Owner
xshen
Ph.D, Computer Vision, Deep Learning.
xshen
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate

News 05/17/2021 To make the comparison on ZJU-MoCap easier, we save quantitative and qualitative results of other methods at here, including Neural Vo

ZJU3DV 748 Jan 07, 2023
A Python library for working with arbitrary-dimension hypercomplex numbers following the Cayley-Dickson construction of algebras.

Hypercomplex A Python library for working with quaternions, octonions, sedenions, and beyond following the Cayley-Dickson construction of hypercomplex

7 Nov 04, 2022
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.

Poisson-solver-2D Finite difference solution of 2D Poisson equation Current version can handle Dirichlet, Neumann, and mixed (combination of Dirichlet

Mohammad Asif Zaman 34 Dec 23, 2022
my graduation project is about live human face augmentation by projection mapping by using CNN

Live-human-face-expression-augmentation-by-projection my graduation project is about live human face augmentation by projection mapping by using CNN o

1 Mar 08, 2022
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

Vision Transformer for Fast and Efficient Scene Text Recognition (ICDAR 2021) ViTSTR is a simple single-stage model that uses a pre-trained Vision Tra

Rowel Atienza 198 Dec 27, 2022
A visualisation tool for Deep Reinforcement Learning

DRLVIS - Visualising Deep Reinforcement Learning Created by Marios Sirtmatsis with the support of Alex Bäuerle. DRLVis is an application used for visu

Marios Sirtmatsis 1 Nov 04, 2021
A sample pytorch Implementation of ACL 2021 research paper "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

Span-ASTE-Pytorch This repository is a pytorch version that implements Ali's ACL 2021 research paper Learning Span-Level Interactions for Aspect Senti

来自丹麦的天籁 10 Dec 06, 2022
Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

DeepOrder Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing". Project

6 Nov 07, 2022
PaSST: Efficient Training of Audio Transformers with Patchout

PaSST: Efficient Training of Audio Transformers with Patchout This is the implementation for Efficient Training of Audio Transformers with Patchout Pa

165 Dec 26, 2022
official Pytorch implementation of ICCV 2021 paper FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting.

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting By Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu

77 Dec 27, 2022
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding Official Pytorch implementation of Negative Sample Matter

Multimedia Computing Group, Nanjing University 69 Dec 26, 2022
Semi-supervised semantic segmentation needs strong, varied perturbations

Semi-supervised semantic segmentation using CutMix and Colour Augmentation Implementations of our papers: Semi-supervised semantic segmentation needs

146 Dec 20, 2022
PyTorch implementation of the paper:A Convolutional Approach to Melody Line Identification in Symbolic Scores.

Symbolic Melody Identification This repository is an unofficial PyTorch implementation of the paper:A Convolutional Approach to Melody Line Identifica

Sophia Y. Chou 3 Feb 21, 2022
A rule-based log analyzer & filter

Flog 一个根据规则集来处理文本日志的工具。 前言 在日常开发过程中,由于缺乏必要的日志规范,导致很多人乱打一通,一个日志文件夹解压缩后往往有几十万行。 日志泛滥会导致信息密度骤减,给排查问题带来了不小的麻烦。 以前都是用grep之类的工具先挑选出有用的,再逐条进行排查,费时费力。在忍无可忍之后决

上山打老虎 9 Jun 23, 2022
Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

SemanticGAN This is the official code for: Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalizat

151 Dec 28, 2022
Brain tumor detection using CNN (InceptionResNetV2 Model)

Brain-Tumor-Detection Building a detection model using a convolutional neural network in Tensorflow & Keras. Used brain MRI images. InceptionResNetV2

1 Feb 13, 2022
Convert Mission Planner (ArduCopter) Waypoint Missions to Litchi CSV Format to execute on DJI Drones

Mission Planner to Litchi Convert Mission Planner (ArduCopter) Waypoint Surveys to Litchi CSV Format to execute on DJI Drones Litchi doesn't support S

Yaros 24 Dec 09, 2022
Sentinel-1 vessel detection model used in the xView3 challenge

sar_vessel_detect Code for the AI2 Skylight team's submission in the xView3 competition (https://iuu.xview.us) for vessel detection in Sentinel-1 SAR

AI2 6 Sep 10, 2022
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

InferPy: Deep Probabilistic Modeling Made Easy InferPy is a high-level API for probabilistic modeling written in Python and capable of running on top

PGM-Lab 141 Oct 13, 2022
unofficial pytorch implementation of RefineGAN

RefineGAN unofficial pytorch implementation of RefineGAN (https://arxiv.org/abs/1709.00753) for CSMRI reconstruction, the official code using tensorpa

xinby17 5 Jul 21, 2022