Papers with Code 아카이브

Landmark Recognition

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하위 태스크

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평가표

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AKASH2907/indian_landmark_recognition

공식 코드

Improving Landmark Recognition using Saliency detection and Feature classification

https://github.com/PaddlePaddle/models

공식 코드

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

https://github.com/chakkritte/NU-LiteNet

공식 코드

NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks

https://github.com/christofhenkel/kaggle-landmark-2021-1st-place

공식 코드

Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers

https://github.com/cvdfoundation/google-landmark

공식 코드

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

https://github.com/esandml/ssl4gie

공식 코드

A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy

https://github.com/haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution

공식 코드

Google Landmark Recognition 2020 Competition Third Place Solution

https://github.com/healthx-lab/cabld

공식 코드

CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization

https://github.com/healthx-lab/camld

공식 코드

CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization

https://github.com/lyakaap/Landmark2019-1st-and-3rd-Place-Solution

공식 코드

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

https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place

공식 코드

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

https://github.com/Ash-Lee233/delf

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval

https://github.com/MrTornado24/CS498_DL_Project

Google Landmark Recognition 2020 Competition Third Place Solution

https://github.com/Shiro-LK/python-DOLG

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval

https://github.com/csiro-robotics/Pair-VPR

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval

https://github.com/echonax07/Data_augmentation

Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM

https://github.com/feixue94/pram

PRAM: Place Recognition Anywhere Model for Efficient Visual Localization

https://github.com/fmaglia/BoI

Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition

https://github.com/fmaglia/keras_rmac_plus

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

https://github.com/gujingxiao/BaiduStar2020-Traffic-Sign-Detection-And-Pair-Competition-Solution

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

https://github.com/tensorflow/models/tree/master/research/delf

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.