What makes ImageNet good for transfer learning?

30 August 2016

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

50 / 131 papers shown

Title
Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance Vishal Gandhi Sagar Gandhi VLM 61 0 0 02 May 2025
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 119 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 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 46 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 28 0 0 12 Sep 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games Carlos Garcia Ling Konrad Tollmar Linus Gisslén 37 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 82 3 0 18 Mar 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
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
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
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Multi-task 3D building understanding with multi-modal pretraining Shicheng Xu 3DPC 27 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 15 10 0 29 May 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 27 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 23 2 0 10 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 23 34 0 11 Jan 2023
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings Tarikul Islam Papon Abdul Wasay 11 0 0 15 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 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 30 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 32 12 0 20 Nov 2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation Yi Wang Nassim Ait Ali Braham Zhitong Xiong Chenying Liu C. Albrecht Xiao Xiang Zhu 34 71 0 13 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas L. Griffiths 27 12 0 02 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 38 5 0 06 Oct 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 34 20 0 02 Sep 2022
Information Gain Sampling for Active Learning in Medical Image Classification Raghav Mehta Changjian Shui Brennan Nichyporuk Tal Arbel 19 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 27 32 0 11 Jul 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 41 9 0 27 May 2022
COVID-19 Severity Classification on Chest X-ray Images Aditi Sagar Aman Swaraj Karan Verma 22 1 0 25 May 2022
Efficient Deep Learning Methods for Identification of Defective Casting Products B. Bolla Mohan Kingam Sabeesh Ethiraj 31 5 0 14 May 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 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 36 103 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 34 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 28 23 0 14 Dec 2021
Controlled-rearing studies of newborn chicks and deep neural networks Donsuk Lee P. Gujarathi Justin N. Wood 6 10 0 12 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 19 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 83 1,030 0 01 Nov 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 88 27 0 06 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 31 2 0 06 Oct 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 26 0 19 Sep 2021