Landmark Recognition

13 papers with code • 2 benchmarks • 4 datasets

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Most implemented papers

Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition

uark-cviu/Intraformer CVPR 2021

This work therefore presents the Clusformer, a simple but new perspective of Transformer based approach, to automatic visual clustering via its unsupervised attention mechanism.

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

christofhenkel/kaggle-landmark-2021-1st-place 7 Oct 2021

We present an efficient end-to-end pipeline for largescale landmark recognition and retrieval.

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

esandml/ssl4gie 11 Jan 2024

In this work, we study the fine-tuned performance of models with ResNet50 and ViT-B backbones pretrained in self-supervised and supervised manners with ImageNet-1k and Hyperkvasir-unlabelled (self-supervised only) in a range of GIE vision tasks.