Label Refinery: Improving ImageNet Classification through Label Progression

7 May 2018

Papers citing "Label Refinery: Improving ImageNet Classification through Label Progression"

50 / 53 papers shown

Title
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications Jordy Van Landeghem Subhajit Maity Ayan Banerjee Matthew Blaschko Marie-Francine Moens Josep Lladós Sanket Biswas 52 2 0 12 Jun 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images Lianlei Shan Weiqiang Wang Ke Lv Bin Luo VLM 30 1 0 28 May 2024
Expediting Contrastive Language-Image Pretraining via Self-distilled Encoders Bumsoo Kim Jinhyung Kim Yeonsik Jo S. Kim VLM 41 4 0 19 Dec 2023
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval P. Li Hongtao Xie Jiannan Ge Lei Zhang Shaobo Min Yongdong Zhang 25 17 0 12 Oct 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 26 16 0 08 Aug 2023
TaxoKnow: Taxonomy as Prior Knowledge in the Loss Function of Multi-class Classification Mohsen Pourvali Yao Meng Chen Sheng Yangzhou Du 20 0 0 24 May 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction Yuxin Meng Feng Gao Eric Rigall Ran Dong Junyu Dong Q. Du 29 20 0 19 Apr 2023
Mixed-Type Wafer Classification For Low Memory Devices Using Knowledge Distillation Nitish Shukla Anurima Dey K. Srivatsan 37 1 0 24 Mar 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR Aneeshan Sain A. Bhunia Subhadeep Koley Pinaki Nath Chowdhury Soumitri Chattopadhyay Tao Xiang Yi-Zhe Song 30 18 0 24 Mar 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study Youcai Zhang Yuzhuo Qin Heng-Ye Liu Yanhao Zhang Yaqian Li X. Gu VLM 55 2 0 15 Mar 2023
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers N. Statuto Irene Unceta Jordi Nin O. Pujol 38 0 0 06 Feb 2023
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection Linfeng Zhang Yukang Shi Hung-Shuo Tai Zhipeng Zhang Yuan He Ke Wang Kaisheng Ma 28 2 0 14 Nov 2022
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 29 35 0 28 Oct 2022
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model Lingsheng Kong Bo Hu Xiongchang Liu Jun Lu Jane You Xiaofeng Liu 40 12 0 26 Aug 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 45 34 0 13 Jul 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 36 5 0 16 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 39 0 14 Jun 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks Bin Hu Yu Sun •. A. K. Qin AI4CE 41 0 0 29 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
Object Localization under Single Coarse Point Supervision Xuehui Yu Pengfei Chen Di Wu Najmul Hassan Guorong Li Junchi Yan Humphrey Shi QiXiang Ye Zhenjun Han 3DPC 18 24 0 17 Mar 2022
Reducing Flipping Errors in Deep Neural Networks Xiang Deng Yun Xiao Bo Long Zhongfei Zhang AAML 38 4 0 16 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 59 924 1 10 Mar 2022
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting Alessio Monti Angelo Porrello Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 23 48 0 09 Mar 2022
Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix Peng Liu 24 0 0 21 Dec 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 45 0 0 19 Oct 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation Bingchen Zhao Kai Han 26 107 0 07 Jul 2021
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation Rui Cheng Bichen Wu Peizhao Zhang Peter Vajda Joseph E. Gonzalez CLIP VLM 21 31 0 18 Apr 2021
Energy-constrained Self-training for Unsupervised Domain Adaptation Xiaofeng Liu Bo Hu Xiongchang Liu Jun Lu J. You Lingsheng Kong 64 29 0 01 Jan 2021
ISD: Self-Supervised Learning by Iterative Similarity Distillation Ajinkya Tejankar Soroush Abbasi Koohpayegani Vipin Pillai Paolo Favaro Hamed Pirsiavash SSL 27 44 0 16 Dec 2020
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features Q. D. Cao Youngjun Choe 21 6 0 15 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation Lu Yu Xialei Liu Joost van de Weijer CLL SSL 28 54 0 06 Dec 2020
Layer-Wise Data-Free CNN Compression Maxwell Horton Yanzi Jin Ali Farhadi Mohammad Rastegari MQ 24 17 0 18 Nov 2020
A Data Set and a Convolutional Model for Iconography Classification in Paintings Federico Milani Piero Fraternali 27 50 0 06 Oct 2020
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy Shaoteng Liu Lijun Gong Kai Ma Yefeng Zheng MedIm 37 38 0 20 Jul 2020
Towards Practical Lipreading with Distilled and Efficient Models Pingchuan Ma Brais Martínez Stavros Petridis Maja Pantic 26 95 0 13 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation Angelo Porrello Luca Bergamini Simone Calderara 32 65 0 08 Jul 2020
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification Yunpeng Zhai QiXiang Ye Shijian Lu Mengxi Jia Rongrong Ji Yonghong Tian 18 163 0 03 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 29 276 0 31 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 26 62 0 25 Mar 2020
Subclass Distillation Rafael Müller Simon Kornblith Geoffrey E. Hinton 34 33 0 10 Feb 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 Jan 2020
A simple baseline for domain adaptation using rotation prediction Ajinkya Tejankar Hamed Pirsiavash SSL 25 5 0 26 Dec 2019
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference Bram-Ernst Verhoef Nathan Laubeuf S. Cosemans P. Debacker Ioannis A. Papistas A. Mallik D. Verkest MQ 19 16 0 19 Dec 2019
Preparing Lessons: Improve Knowledge Distillation with Better Supervision Tiancheng Wen Shenqi Lai Xueming Qian 27 68 0 18 Nov 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 790 0 26 Aug 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 24 29 0 15 Aug 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 27 846 0 17 May 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 36 458 0 02 May 2019