What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 105 papers shown

Title
Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance Vishal Gandhi Sagar Gandhi VLM 47 0 0 02 May 2025
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 104 0 0 02 May 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
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Surojit Saha Ross T. Whitaker 46 0 0 28 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 43 8 0 20 Jan 2025
Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities Aaryan Panda Damodar Panigrahi Shaswata Mitra Sudip Mittal Shahram Rahimi 23 0 0 12 Sep 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games Carlos Garcia Ling Konrad Tollmar Linus Gisslén 35 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
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 77 3 0 18 Mar 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy Edward Sanderson B. Matuszewski 21 2 0 11 Jan 2024
A Scalable and Generalizable Pathloss Map Prediction Ju-Hyung Lee A. Molisch 18 12 0 06 Dec 2023
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Jindong Wang Qiang Yang Zhi-Hong Mao Ye Ye 22 4 0 12 Oct 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations Mihai Cristian Pîrvu Alina Marcu A. Dobrescu N. Belbachir Marius Leordeanu 16 6 0 21 Aug 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
Multi-task 3D building understanding with multi-modal pretraining Shicheng Xu 3DPC 14 2 0 16 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 40 29 0 07 Jun 2023
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images M. Campana Marco Colussi Franca Delmastro S. Mascetti Elena Pagani 13 10 0 29 May 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 19 10 0 13 Mar 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 21 2 0 10 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 26 10 0 28 Jan 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 24 63 0 30 Nov 2022
Exploiting Category Names for Few-Shot Classification with Vision-Language Models Taihong Xiao Zirui Wang Liangliang Cao Jiahui Yu Shengyang Dai Ming Yang VLM MLLM 27 5 0 29 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 20 12 0 20 Nov 2022
Content-Based Search for Deep Generative Models Daohan Lu Sheng-Yu Wang Nupur Kumari Rohan Agarwal Mia Tang David Bau Jun-Yan Zhu DiffM SyDa 32 5 0 06 Oct 2022
Information Gain Sampling for Active Learning in Medical Image Classification Raghav Mehta Changjian Shui Brennan Nichyporuk Tal Arbel 17 5 0 01 Aug 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 25 32 0 11 Jul 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 34 9 0 27 May 2022
Efficient Deep Learning Methods for Identification of Defective Casting Products B. Bolla Mohan Kingam Sabeesh Ethiraj 28 5 0 14 May 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 314 0 06 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 31 14 0 01 Feb 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations Daiqing Li Huan Ling Seung Wook Kim Karsten Kreis Adela Barriuso Sanja Fidler Antonio Torralba 23 103 0 12 Jan 2022
Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning Dorian Desblancs SSL 21 2 0 05 Jan 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 19 86 0 16 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 22 23 0 14 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias Shubhaankar Gupta Thomas P. O'Connell Bernhard Egger 22 1 0 30 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 11 57 0 24 Nov 2021
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning Stanley Bryan Z. Hua Alex X. Lu Alan M. Moses CLIP VLM 16 15 0 23 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 71 1,029 0 01 Nov 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 82 27 0 06 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 29 2 0 06 Oct 2021
Effect of the output activation function on the probabilities and errors in medical image segmentation Lars Nieradzik G. Scheuermann D. Saur Christina Gillmann SSeg MedIm UQCV 30 6 0 02 Sep 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 38 12 0 25 Aug 2021
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping Rahul Ghosh X. Jia Chenxi Lin Zhenong Jin Vipin Kumar SSL 30 9 0 16 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 29 63 0 29 Jul 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 24 229 0 27 Jul 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Y. Zou GAN 36 52 0 18 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 173 686 0 22 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 19 26 0 06 Apr 2021