Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers

25 August 2023

Papers citing "Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers"

5 / 5 papers shown

Title
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 161 195 0 29 Sep 2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features Min Yang Dongliang He M. Fan Baorong Shi Xuetong Xue Fu Li Errui Ding Jizhou Huang 35 92 0 06 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Investigating the Vision Transformer Model for Image Retrieval Tasks S. Gkelios Y. Boutalis S. Chatzichristofis VLM ViT 18 30 0 11 Jan 2021
Learning and aggregating deep local descriptors for instance-level recognition Giorgos Tolias Tomás Jenícek Ondvrej Chum FedML 161 100 0 26 Jul 2020