Title
A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw Wenwen Li Chia-Yu Hsu Sizhe Wang Zhining Gu Yili Yang Brendan M. Rogers A. Liljedahl 61 0 0 23 Apr 2025
LEMUR Neural Network Dataset: Towards Seamless AutoML Arash Torabi Goodarzi Roman Kochnev Waleed Khalid Furui Qin Tolgay Atinc Uzun Yashkumar Sanjaybhai Dhameliya Yash Kanubhai Kathiriya Zofia Antonina Bentyn D. Ignatov Radu Timofte 39 1 0 14 Apr 2025
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs Urszula Czerwinska Cenk Bircanoglu Jeremy Chamoux 38 0 0 10 Apr 2025
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 28 0 0 08 Apr 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 62 0 0 21 Mar 2025
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives T. Nguyen Thanh-Dung Le Vu Nguyen Ha Hong-Fu Chou G. Eappen ... P. Thiruvasagam Luis Manuel Garcés Socarrás J. L. González-Rios JUAN CARLOS MERLANO DUNCAN Symeon Chatzinotas 50 2 0 12 Mar 2025
With Great Backbones Comes Great Adversarial Transferability Erik Arakelyan Karen Hambardzumyan Davit Papikyan Pasquale Minervini Albert Gordo Isabelle Augenstein Aram H. Markosyan AAML 65 0 0 21 Jan 2025
Learned Compression for Compressed Learning Dan G. Jacobellis N. Yadwadkar 81 0 0 12 Dec 2024
VIBES -- Vision Backbone Efficient Selection Joris Guerin Shray Bansal Amirreza Shaban Paulo Mann Harshvardhan Gazula VLM 28 0 0 11 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan C. Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 26 0 0 11 Oct 2024
Multi-Scale Deformable Transformers for Student Learning Behavior Detection in Smart Classroom Zhifeng Wang Minghui Wang Chunyan Zeng Longlong Li 26 1 0 10 Oct 2024
On The Relationship between Visual Anomaly-free and Anomalous Representations Riya Sadrani Hrishikesh Sharma Ayush Bachan 49 0 0 09 Oct 2024
Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods Daniel Otero Rafael Mateus Randall Balestriero 28 0 0 05 Oct 2024
Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder Krzysztof Krawiec Antoni Nowinowski OCL CoGe DRL 22 1 0 15 Sep 2024
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones Moritz Nottebaum Matteo Dunnhofer C. Micheloni ViT 33 1 0 05 Sep 2024
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models Thanh-Dung Le Vu Nguyen Ha T. Nguyen G. Eappen P. Thiruvasagam ... J. L. González-Rios Luis M. Garces-Socarras Symeon Chatzinotas Juan Carlos Merlano-Duncan Symeon Chatzinotas 31 4 0 05 Sep 2024
MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion L. N. Kirsten Zhicheng Fu Nikhil Ambha Madhusudhana 35 1 0 15 Aug 2024
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification Markus Marks Manuel Knott Neehar Kondapaneni Elijah Cole T. Defraeye Fernando Pérez-Cruz Pietro Perona SSL 45 2 0 16 Jul 2024
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation Jinbin Huang Wenbin He Liang Gou Liu Ren Chris Bryan 47 0 0 25 Jun 2024
Just How Flexible are Neural Networks in Practice? Ravid Shwartz-Ziv Micah Goldblum Arpit Bansal C. B. Bruss Yann LeCun Andrew Gordon Wilson 40 4 0 17 Jun 2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding Wufei Ma Guanning Zeng Guofeng Zhang Qihao Liu Letian Zhang Adam Kortylewski Yaoyao Liu Alan Yuille VLM 3DV 43 7 0 13 Jun 2024
Enhancing 2D Representation Learning with a 3D Prior Mehmet Aygun Prithviraj Dhar Zhicheng Yan Oisin Mac Aodha Rakesh Ranjan SSL 56 1 0 04 Jun 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi A. Hengel VLM 40 1 0 27 May 2024
Probing the 3D Awareness of Visual Foundation Models Mohamed El Banani Amit Raj Kevis-Kokitsi Maninis Abhishek Kar Yuanzhen Li Michael Rubinstein Deqing Sun Leonidas J. Guibas Justin Johnson Varun Jampani 37 79 0 12 Apr 2024
Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN) Jiaming Deng Zhenglin Chen Minjiang Chen Lulu Xu Jiaqi Yang Zhendong Luo Peiwu Qin 46 2 0 31 Mar 2024
Neural Networks Learn Statistics of Increasing Complexity Nora Belrose Quintin Pope Lucia Quirke Alex Troy Mallen Xiaoli Z. Fern 16 11 0 06 Feb 2024
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances Cristian Rodriguez-Opazo Edison Marrese-Taylor Ehsan Abbasnejad Hamed Damirchi Ignacio M. Jara Felipe Bravo-Marquez A. Hengel VLM 48 1 0 22 Dec 2023
What, How, and When Should Object Detectors Update in Continually Changing Test Domains? Jayeon Yoo Dongkwan Lee Inseop Chung Donghyun Kim Nojun Kwak OOD VLM TTA 27 4 0 12 Dec 2023
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation Zhenyu Li Shariq Farooq Bhat Peter Wonka MDE 20 21 0 04 Dec 2023
Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture Wei-Jang Li Yang Wei Tianpeng Liu Yuenan Hou Yuxuan Li Zhen Liu Yongxiang Liu Li Liu 25 17 0 26 Nov 2023
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification Vasilis Siomos Sergio Naval Marimont Jonathan Passerat-Palmbach G. Tarroni 37 0 0 24 Nov 2023
Segment Anything in Defect Detection Bozhen Hu Bin Gao Cheng Tan Tongle Wu Stan Z. Li 24 7 0 17 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 40 16 0 15 Nov 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G. Holste Yiliang Zhou Song Wang Ajay Jaiswal Mingquan Lin ... Zhiyong Lu Ronald M. Summers George Shih Zhangyang Wang Yifan Peng 23 13 0 24 Oct 2023
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation Chengyin Li Prashant Khanduri Yao Qiang Rafi Ibn Sultan I. Chetty D. Zhu MedIm 69 13 0 28 Aug 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 89 1 0 17 Jul 2023
On the Viability of Monocular Depth Pre-training for Semantic Segmentation Dong Lao Fengyu Yang Daniel Wang Hyoungseob Park Samuel Lu Alex Wong Stefano Soatto MDE 23 0 0 26 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014