Pay attention to the activations: a modular attention mechanism for fine-grained image recognition

30 July 2019

Papers citing "Pay attention to the activations: a modular attention mechanism for fine-grained image recognition"

9 / 9 papers shown

Title
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples Ziye Fang Xin Jiang Hao Tang Zechao Li 30 12 0 10 Nov 2023
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition Xinda Liu Lili Wang Xiaoguang Han ViT 36 66 0 14 Jul 2021
Large Scale Visual Food Recognition Weiqing Min Zhiling Wang Yuxin Liu Mengjia Luo Lijuan Kang Xiaoming Wei Xiaolin K. Wei Shuqiang Jiang 29 140 0 30 Mar 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 61 108 0 17 Jan 2021
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention Jiyang Xie Dongliang Chang Zhanyu Ma Guoqiang Zhang Jun Guo 26 25 0 10 Mar 2020
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming-hui Sun Yuchen Yuan Feng Zhou Errui Ding 125 350 0 14 Jun 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip H. S. Torr 67 437 0 06 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 156 789 0 24 Nov 2014