Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

16 June 2018

Papers citing "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning"

32 / 82 papers shown

Title
LQF: Linear Quadratic Fine-Tuning Alessandro Achille Aditya Golatkar Avinash Ravichandran M. Polito Stefano Soatto 19 27 0 21 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 237 968 0 13 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 17 6 0 09 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 32 68 0 25 Nov 2020
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge C. Brust Björn Barz Joachim Denzler NoLa 16 5 0 13 Oct 2020
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya-Qin Zhang Xiaoyun Zhang Yuehua Li 12 10 0 13 Oct 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Andrew Zhang NoLa 21 41 0 06 Aug 2020
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains Carola Figueroa Flores Bogdan Raducanu David Berga Joost van de Weijer 19 6 0 24 Jul 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 19 23 0 22 Jul 2020
Deep Residual Correction Network for Partial Domain Adaptation Shuang Li Chi Harold Liu Qiuxia Lin Qi Wen Limin Su Gao Huang Zhengming Ding 14 145 0 10 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 13 220 0 01 Apr 2020
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers Saeed Anwar Nick Barnes L. Petersson 19 6 0 24 Mar 2020
Towards Learning a Universal Non-Semantic Representation of Speech Joel Shor A. Jansen Ronnie Maor Oran Lang Omry Tuval Félix de Chaumont Quitry Marco Tagliasacchi Ira Shavitt Dotan Emanuel Yinnon A. Haviv SSL 23 155 0 25 Feb 2020
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN Hang Xu Linpu Fang Xiaodan Liang Wenxiong Kang Zhenguo Li ObjD 24 21 0 18 Feb 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 42 0 09 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
Measuring Dataset Granularity Yin Cui Zeqi Gu D. Mahajan L. V. D. van der Maaten Serge J. Belongie Ser-Nam Lim 26 13 0 21 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 11 56 0 20 Dec 2019
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 24 105 0 20 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 250 782 0 05 Dec 2019
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 18 21 0 18 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 24 1,188 0 21 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 15 168 0 08 Oct 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 16 458 0 31 Aug 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 21 481 0 12 Jun 2019
Geo-Aware Networks for Fine-Grained Recognition Grace Chu B. Potetz Weijun Wang Andrew G. Howard Yang Song Fernando Brucher Thomas Leung Hartwig Adam ObjD 33 82 0 04 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 22 1,131 0 10 Apr 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up Weifeng Ge Xiangru Lin Yizhou Yu 28 255 0 07 Mar 2019
Amalgamating Knowledge towards Comprehensive Classification Chengchao Shen L. Câlmâc Jie Song Li Sun Mingli Song MoMe 22 89 0 07 Nov 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 52 1,308 0 23 May 2018
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 170 840 0 17 May 2016
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