TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples

28 May 2020

Papers citing "TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples"

8 / 8 papers shown

Title
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification Aisha Zulfiqar Ebroul Izquiedro 40 0 0 12 Jan 2025
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 11 6 0 18 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 13 31 0 02 Jul 2022
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 35 20 0 30 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 13 25 0 26 Oct 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 629 0 17 Oct 2019
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data Yabin Zhang Hui Tang K. Jia 60 94 0 28 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017