About

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Greatest papers with code

2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019

10 Jun 2019PaddlePaddle/models

We present a retrieval based system for landmark retrieval and recognition challenge. There are five parts in retrieval competition system, including feature extraction and matching to get candidates queue; database augmentation and query extension searching; reranking from recognition results and local feature matching.

LANDMARK RECOGNITION LOCAL FEATURE MATCHING

Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

25 Mar 2020cvdfoundation/google-landmark

Due to the variance of the images, which include extreme viewpoint changes such as having to retrieve images of the exterior of a landmark from images of the interior, this is very challenging for approaches based exclusively on visual similarity.

IMAGE RETRIEVAL LANDMARK RECOGNITION RE-RANKING

Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset

10 Jun 2019lyakaap/Landmark2019-1st-and-3rd-Place-Solution

Besides, we devise a discriminative re-ranking method to address the diversity of the dataset for landmark retrieval.

LANDMARK RECOGNITION METRIC LEARNING RE-RANKING

Supporting large-scale image recognition with out-of-domain samples

4 Oct 2020psinger/kaggle-landmark-recognition-2020-1st-place

This article presents an efficient end-to-end method to perform instance-level recognition employed to the task of labeling and ranking landmark images.

LANDMARK RECOGNITION

Google Landmark Recognition 2020 Competition Third Place Solution

11 Oct 2020haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution

We present our third place solution to the Google Landmark Recognition 2020 competition.

LANDMARK RECOGNITION

An accurate retrieval through R-MAC+ descriptors for landmark recognition

22 Jun 2018fmaglia/keras_rmac_plus

The landmark recognition problem is far from being solved, but with the use of features extracted from intermediate layers of Convolutional Neural Networks (CNNs), excellent results have been obtained.

LANDMARK RECOGNITION

Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition

15 Jun 2018fmaglia/BoI

It allows to drastically reduce the query time and outperforms the accuracy results compared to the state-of-the-art methods for large-scale landmark recognition.

LANDMARK RECOGNITION

NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks

2 Oct 2018chakkritte/NU-LiteNet

The growth of high-performance mobile devices has resulted in more research into on-device image recognition.

LANDMARK RECOGNITION