v1v2 (latest)

What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 320 papers shown

Title
Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting Jinhyeok Jang Jaehong Kim Jung Uk Kim 68 0 0 07 Aug 2025
The Impact of Coreset Selection on Spurious Correlations and Group Robustness Amaya Dharmasiri William Yang Polina Kirichenko Lydia Liu Olga Russakovsky 112 1 0 15 Jul 2025
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Robert-Jan Bruintjes A. Lengyel O. Kayhan Davide Zambrano Nergis Tomen Hadi Jamali Rad Jan van Gemert VLM 157 0 0 10 Jun 2025
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 911 1 0 02 May 2025
Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance Vishal Gandhi Sagar Gandhi VLM 342 2 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 298 0 0 18 Mar 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos Nikolaos Ioannis Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 412 3 0 10 Mar 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 188 0 0 03 Feb 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic FaciesIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025 Surojit Saha Ross T. Whitaker 223 0 0 28 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Yaoyao Liu Zongwei Zhou MedIm 266 15 0 20 Jan 2025
SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples Yin Wang Zixuan Wang Hao Lu Zhen Qin Hailiang Zhao Guanjie Cheng Ge Su Li Kuang Mengchu Zhou Shuiguang Deng 108 0 0 10 Jan 2025
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison Mikko Impio Philipp M. Rehsen Jenni Raitoharju 229 0 0 20 Dec 2024
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization Yingfan Wang Guoliang Kang VLM 328 2 0 10 Dec 2024
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning Amber Cassimon Siegfried Mercelis Kevin Mets 324 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 216 0 0 05 Nov 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionNeural Information Processing Systems (NeurIPS), 2024 Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 191 9 0 08 Oct 2024
Learning to Obstruct Few-Shot Image Classification over Restricted ClassesEuropean Conference on Computer Vision (ECCV), 2024 Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 303 4 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 155 4 0 12 Sep 2024
Zero-Shot Object-Centric Representation Learning Aniket Didolkar Antonios Tragoudaras Anirudh Goyal Mike Mozer Yoshua Bengio Georg Martius Maximilian Seitzer VLM OCL 249 13 0 17 Aug 2024
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 231 1 0 05 Jul 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 218 1 0 19 Jun 2024
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly Siddhant Shete Dennis Mronga Ankita Jadhav Frank Kirchner 104 0 0 18 Jun 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games Carlos Garcia Ling Konrad Tollmar Linus Gisslén 151 19 0 12 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 333 3 0 05 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 317 10 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 185 22 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 Fengqing Zhu 195 5 0 13 May 2024
Few-Shot Fruit Segmentation via Transfer LearningIEEE International Conference on Robotics and Automation (ICRA), 2024 Jordan A. James Heather K. Manching Amanda M. Hulse-Kemp William J. Beksi 143 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 237 5 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 170 9 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 127 0 0 25 Mar 2024
A Survey of Machine Learning for Estimating Workload: Considering Unknown Tasks Josh Bhagat Smith Julie A. Adams 257 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 352 6 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 150 12 0 17 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 268 10 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 168 9 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 301 1 0 25 Feb 2024
Towards Efficient Active Learning in NLP via Pretrained Representations Artem Vysogorets Achintya Gopal 120 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 155 2 0 21 Feb 2024
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationAnnual International Computer Software and Applications Conference (COMPSAC), 2024 Yuning Huang Jingchen Zou Lanxi Meng Xin Yue Qing Zhao Jianqiang Li Changwei Song Gabriel Jimenez Shaowu Li Guanghui Fu 244 27 0 12 Feb 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 202 10 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 246 29 0 08 Feb 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal EndoscopyIEEE Access (IEEE Access), 2024 Edward Sanderson B. Matuszewski 234 4 0 11 Jan 2024
A Scalable and Generalizable Pathloss Map Prediction Ju-Hyung Lee A. Molisch 117 34 0 06 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification Jiayi Li Rohan Taori Tatsunori Hashimoto VLM 203 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 155 4 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 227 0 0 23 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Yongfeng Zhang Qiang Yang Zhi-Hong Mao Ye Ye 279 8 0 12 Oct 2023
Pre-training with Synthetic Data Helps Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Zecheng Wang Che Wang Zixuan Dong George Andriopoulos OffRL 322 9 0 01 Oct 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time FeedbackIEEE International Conference on Computer Vision (ICCV), 2023 Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 172 8 0 27 Sep 2023