What makes ImageNet good for transfer learning?

30 August 2016

Papers citing "What makes ImageNet good for transfer learning?"

50 / 315 papers shown

Title
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 143 0 0 02 May 2025
Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance Vishal Gandhi Sagar Gandhi VLM 61 0 0 02 May 2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation Justus Westerhoff Golzar Atefi Mario Koddenbrock Alexei Figueroa Alexander Loser Erik Rodner Felix Alexader Gers OffRL 61 0 0 18 Mar 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos N. Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 74 1 0 10 Mar 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 42 0 0 03 Feb 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Surojit Saha Ross T. Whitaker 59 0 0 28 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 49 8 0 20 Jan 2025
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison Mikko Impio Philipp M. Rehsen Jenni Raitoharju 74 0 0 20 Dec 2024
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization Yingfan Wang Guoliang Kang VLM 82 0 0 10 Dec 2024
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning Amber Cassimon Siegfried Mercelis Kevin Mets 88 1 0 02 Dec 2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting Adrian B. Chłopowiec Adam R. Chłopowiec Krzysztof Galus Wojciech Cebula Martin Tabakov MedIm 38 0 0 05 Nov 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 28 1 0 08 Oct 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 35 1 0 28 Sep 2024
Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities Aaryan Panda Damodar Panigrahi Shaswata Mitra Sudip Mittal Shahram Rahimi 28 0 0 12 Sep 2024
Zero-Shot Object-Centric Representation Learning Aniket Didolkar Andrii Zadaianchuk Anirudh Goyal Mike Mozer Yoshua Bengio Georg Martius Maximilian Seitzer VLM OCL 37 4 0 17 Aug 2024
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 48 1 0 05 Jul 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 40 1 0 19 Jun 2024
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly Siddhant Shete Dennis Mronga Ankita Jadhav Frank Kirchner 29 0 0 18 Jun 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games Carlos Garcia Ling Konrad Tollmar Linus Gisslén 43 18 0 12 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 38 1 0 05 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 44 5 0 30 May 2024
Computer Vision in the Food Industry: Accurate, Real-time, and Automatic Food Recognition with Pretrained MobileNetV2 Shayan Rokhva Babak Teimourpour Amir Hossein Soltani 36 8 0 19 May 2024
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor Yuning Huang Mohamed Abul Hassan Jiangpeng He Janine A. Higgins Megan A. McCrory H. Eicher-Miller John Graham Thomas Edward Sazonov F. Zhu 69 1 0 13 May 2024
Few-Shot Fruit Segmentation via Transfer Learning Jordan A. James Heather K. Manching Amanda M. Hulse-Kemp William J. Beksi 26 1 0 04 May 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks Zitong Huang Ze Chen Bowen Dong Chaoqi Liang Erjin Zhou Wangmeng Zuo MoMe CLL 46 3 0 25 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning Hongwei Zheng Linyuan Zhou Han Li Jinming Su Xiaoming Wei Xiaoming Xu 37 4 0 01 Apr 2024
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes Tianwei Zhang Dong Wei Mengmeng Zhua Shi Gu Yefeng Zheng SSL 38 0 0 25 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 24 0 0 20 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks Ibrahim Almakky Santosh Sanjeev Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub Mohammad Yaqub FedML MoMe 85 3 0 18 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption Xuanqi Liu Zhuotao Liu Qi Li Ke Xu Mingwei Xu 21 7 0 17 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 43 1 0 15 Mar 2024
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs Tianyu Zhang Chengbin Hou Rui Jiang Xuegong Zhang Chenghu Zhou Ke Tang Hairong Lv 35 3 0 26 Feb 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 42 1 0 25 Feb 2024
Towards Efficient Active Learning in NLP via Pretrained Representations Artem Vysogorets Achintya Gopal 36 0 0 23 Feb 2024
Scalable Methods for Brick Kiln Detection and Compliance Monitoring from Satellite Imagery: A Deployment Case Study in India Rishabh Mondal Zeel B Patel Vannsh Jani Nipun Batra 45 1 0 21 Feb 2024
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification Yuning Huang Jingchen Zou Lanxi Meng Xin Yue Qing Zhao Jianqiang Li Changwei Song Gabriel Jimenez Shaowu Li Guanghui Fu 36 8 0 12 Feb 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 45 3 0 09 Feb 2024
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts Zhili Liu Kai Chen Jianhua Han Lanqing Hong Hang Xu Zhenguo Li James T. Kwok MoE 114 24 0 08 Feb 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy Edward Sanderson B. Matuszewski 23 2 0 11 Jan 2024
A Scalable and Generalizable Pathloss Map Prediction Ju-Hyung Lee A. Molisch 31 12 0 06 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification Jiayi Li Rohan Taori Tatsunori Hashimoto VLM 32 0 0 01 Dec 2023
Manipulating the Label Space for In-Context Classification Haokun Chen Xu Yang Yuhang Huang Zihan Wu Jing Wang Xin Geng VLM 25 2 0 01 Dec 2023
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation Yuan Li Huan Liu Y. Tao Xiangyang He Haifeng Li Xiaohu Guo Hai Lin 27 0 0 23 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Jindong Wang Qiang Yang Zhi-Hong Mao Ye Ye 30 4 0 12 Oct 2023
Pre-training with Synthetic Data Helps Offline Reinforcement Learning Zecheng Wang Che Wang Zixuan Dong Keith Ross OffRL 30 5 0 01 Oct 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 31 3 0 27 Sep 2023
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System Chengjie Lu Qinghua Xu T. Yue Sajid Ali T. Schwitalla J. Nygaard 28 9 0 06 Sep 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations Mihai Cristian Pîrvu Alina Marcu A. Dobrescu N. Belbachir Marius Leordeanu 19 6 0 21 Aug 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness Vivek Ramanujan Thao Nguyen Sewoong Oh Ludwig Schmidt Ali Farhadi OOD 14 21 0 24 Jul 2023
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation Gabriele Merlin Vedant Nanda Ruchit Rawal Mariya Toneva 28 3 0 12 Jul 2023