PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks

PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks

18 March 2024

Philip Matthias Winter

David Major

Dimitrios Lenis

Astrid Berg

Theresa Neubauer

Gaia Romana De Paolis

Johannes Novotny

Katja Bühler

Papers citing "PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks"

7 / 7 papers shown

Title
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu Muzhi Zhu Hengtao Li Hao Chen Xinlong Wang Chunhua Shen VLM MLLM 77 82 0 22 May 2023
Continual evaluation for lifelong learning: Identifying the stability gap Matthias De Lange Gido M. van de Ven Tinne Tuytelaars CLL 83 40 0 26 May 2022
TransBoost: Improving the Best ImageNet Performance using Deep Transduction Omer Belhasin Guy Bar-Shalom Ran El-Yaniv ViT 19 3 0 26 May 2022
Image Obfuscation for Privacy-Preserving Machine Learning Mathilde Raynal R. Achanta Mathias Humbert 36 12 0 20 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 154 3,574 0 09 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015