A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of
Foundation Models

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models

20 January 2024

Vincent Gripon

Franccois Leduc-Primeau

Fabien Cardinaux

Papers citing "A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models"

6 / 6 papers shown

Title
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model Zihan Zhong Zhiqiang Tang Tong He Haoyang Fang Chun Yuan 43 41 0 31 Jan 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 330 2,267 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,828 0 18 Aug 2016