ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.02782
  4. Cited By
Feature Boosting, Suppression, and Diversification for Fine-Grained
  Visual Classification
v1v2 (latest)

Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification

IEEE International Joint Conference on Neural Network (IJCNN), 2021
4 March 2021
Jianwei Song
Ruoyu Yang
ArXiv (abs)PDFHTMLGithub (22★)

Papers citing "Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification"

3 / 3 papers shown
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
Zhenru Zhang
Hao Tang
Jinhui Tang
275
0
0
12 Apr 2025
Unrealistic Feature Suppression for Generative Adversarial Networks
Unrealistic Feature Suppression for Generative Adversarial Networks
Sanghun Kim
Seungkyu Lee
GAN
176
1
0
23 Jul 2021
Channel Interaction Networks for Fine-Grained Image Categorization
Channel Interaction Networks for Fine-Grained Image CategorizationAAAI Conference on Artificial Intelligence (AAAI), 2020
Yu Gao
Xintong Han
Xun Wang
Weilin Huang
Matthew R. Scott
334
176
0
11 Mar 2020
1
Page 1 of 1