Rethinking ImageNet Pre-training

21 November 2018

Piotr Dollár

Papers citing "Rethinking ImageNet Pre-training"

50 / 507 papers shown

Title
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 33 0 0 10 Jun 2025
Do Multiple Instance Learning Models Transfer? Daniel Shao Richard J. Chen Andrew H. Song Joel Runevic Ming Y. Lu Tong Ding Faisal Mahmood MedIm 41 0 0 10 Jun 2025
Multimodal and Multiview Deep Fusion for Autonomous Marine Navigation Dimitrios Dagdilelis Panagiotis Grigoriadis R. Galeazzi 3DPC 435 0 0 02 May 2025
Exploring the Potential of Latent Embeddings for Sea Ice Characterization using ICESat-2 Data Daehyeon Han Morteza Karimzadeh 38 0 0 25 Apr 2025
Deep Learning with Pretrained Ínternal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Ayoub Jadouli Chaker El Amrani KELM AI4TS 151 0 0 20 Apr 2025
Saga: Capturing Multi-granularity Semantics from Massive Unlabelled IMU Data for User Perception Yunzhe Li Facheng Hu Hongzi Zhu Shifan Zhang Liang Zhang Shan Chang Minyi Guo 77 0 0 16 Apr 2025
k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei Christos Matsoukas Johan Fredin Haslum Emir Konuk Kevin Smith 94 0 0 24 Mar 2025
Unsupervised Waste Classification By Dual-Encoder Contrastive Learning and Multi-Clustering Voting (DECMCV) Kui Huang Mengke Song Shuo Ba Ling An Huajie Liang Huanxi Deng Yang Liu Zhenyu Zhang Chichun Zhou 84 1 0 04 Mar 2025
Scaling Laws for Downstream Task Performance in Machine Translation Berivan Isik Natalia Ponomareva Hussein Hazimeh Dimitris Paparas Sergei Vassilvitskii Sanmi Koyejo 165 23 0 24 Feb 2025
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging Zihao Han Philippe De Wilde ViT 126 0 0 17 Feb 2025
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer Wenxi Li Yuchen Guo Jilai Zheng Haozhe Lin Chao Ma Lu Fang Xiaokang Yang ViT 160 5 0 11 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 148 11 0 20 Jan 2025
Fully Test-time Adaptation for Tabular Data Zhi Zhou Kun-Yang Yu Lan-Zhe Guo Yu-Feng Li TTA LMTD 147 3 0 14 Dec 2024
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning Zehua Wang C. J. Li QiXiang Ye Tong Zhang MoE 127 1 0 03 Dec 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning Minghui Chen Meirui Jiang Xin Zhang Qi Dou Zehua Wang Xiaoxiao Li MoMe FedML 128 3 0 31 Oct 2024
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models Shenghao Fu Junkai Yan Q. Yang Xihan Wei Xiaohua Xie Wei-Shi Zheng VLM 111 3 0 25 Oct 2024
Enhancing pretraining efficiency for medical image segmentation via transferability metrics Gábor Hidy Bence Bakos András Lukács 86 1 0 24 Oct 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 475 0 0 15 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning Ray Congrui Yu Sherry Wu Jiang Gui 116 1 0 07 Oct 2024
Task-Oriented Pre-Training for Drivable Area Detection Fulong Ma Guoyang Zhao Weiqing Qi Ming Liu Jun Ma VLM 69 1 0 30 Sep 2024
A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks Boa Jang Youngbin Ahn Eun Kyung Choe Chang Ki Yoon Hyuk Jin Choi Young-Gon Kim MedIm LM&MA 23 1 0 16 Aug 2024
SpectralEarth: Training Hyperspectral Foundation Models at Scale Nassim Ait Ali Braham C. Albrecht Julien Mairal J. Chanussot Yi Wang X. Zhu 82 15 0 15 Aug 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training Gengwei Zhang Liyuan Wang Guoliang Kang Ling Chen Yunchao Wei VLM CLL 68 7 0 15 Aug 2024
PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentations Jiajun Zhou Yijie Yang Austin M. Mroz Kim E. Jelfs SSL 74 2 0 14 Aug 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? Richard Ren Steven Basart Adam Khoja Alice Gatti Long Phan ... Alexander Pan Gabriel Mukobi Ryan H. Kim Stephen Fitz Dan Hendrycks ELM 77 25 0 31 Jul 2024
Exploring Camera Encoder Designs for Autonomous Driving Perception Barath Lakshmanan Joshua Chen Shiyi Lan Maying Shen Zhiding Yu Jose M. Alvarez 114 0 0 09 Jul 2024
Rethinking Unsupervised Outlier Detection via Multiple Thresholding Zhonghang Liu Panzhong Lu Guoyang Xie Zhichao Lu Wen-Yan Lin 86 0 0 07 Jul 2024
Lightweight Model Pre-training via Language Guided Knowledge Distillation Mingsheng Li Lin Zhang Mingzhen Zhu Zilong Huang Gang Yu Jiayuan Fan Tao Chen 81 2 0 17 Jun 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning Sunyuan Qiang Xuxin Lin Yanyan Liang Jun Wan Du Zhang CLL 96 1 0 20 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 116 0 0 01 May 2024
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu Yijie Guo Jie Xu Ankit Goyal Hao Su Dieter Fox Animesh Garg LM&Ro 100 0 0 11 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 91 28 0 04 Apr 2024
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs Donghyun Kim Byeongho Heo Dongyoon Han 85 17 0 28 Mar 2024
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation Bin Xie Hao Tang Bin Duan Dawen Cai Yan Yan Gady Agam VLM MedIm 81 0 0 21 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling Hyungi Lee G. Nam Edwin Fong Juho Lee BDL 80 6 0 12 Mar 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 227 4 0 01 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 94 3 0 29 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 138 2 0 07 Feb 2024
Constrained Multiview Representation for Self-supervised Contrastive Learning Siyuan Dai Kai Ye Kun Zhao Ge Cui Haoteng Tang Liang Zhan SSL 51 1 0 05 Feb 2024
Revisiting the Power of Prompt for Visual Tuning Yuzhu Wang Lechao Cheng Chaowei Fang Dingwen Zhang Manni Duan Meng Wang VLM 126 16 0 04 Feb 2024
Free Form Medical Visual Question Answering in Radiology Abhishek Narayanan Rushabh Musthyala Rahul Sankar A. Nistala P. Singh Jacopo Cirrone 79 2 0 23 Jan 2024
Transferring Core Knowledge via Learngenes Fu Feng Jing Wang Xin Geng 109 7 0 16 Jan 2024
MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction Toyota Li 65 6 0 14 Jan 2024
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model Changtai Li Xu Han Chao Yao Xiaojuan Ban 47 2 0 11 Jan 2024
Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 108 51 0 28 Dec 2023
GMISeg: General Medical Image Segmentation without Re-Training Jing Xu VLM 76 2 0 21 Nov 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer Yunqiao Yang Long-Kai Huang Ying Wei 69 2 0 12 Nov 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 190 68 0 30 Oct 2023
Fast Trainable Projection for Robust Fine-Tuning Junjiao Tian Yen-Cheng Liu James Seale Smith Z. Kira OOD 93 14 0 29 Oct 2023
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis Cuong V. Nguyen H. Duong Cuong D.Do 86 4 0 27 Oct 2023