Landmark Recognition
13 papers with code • 2 benchmarks • 4 datasets
Datasets
Most implemented papers
Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition
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
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
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.