:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Takahashi, Shuntaro, Wakisaka, Takuya, Tokunaga, Hiroyuki
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2410.11553
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speedrunning ImageNet Diffusion
by: Bhanded, Swayam
Published: (2025)

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
by: Vishniakov, Kirill, et al.
Published: (2023)

Automated Classification of Model Errors on ImageNet
by: Peychev, Momchil, et al.
Published: (2023)

Fine-Grained ImageNet Classification in the Wild
by: Lymperaiou, Maria, et al.
Published: (2023)

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
by: Zhou, Zhaokun, et al.
Published: (2024)

Flaws of ImageNet, Computer Vision's Favourite Dataset
by: Kisel, Nikita, et al.
Published: (2024)

Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
by: Tokunaga, Hiroyuki, et al.
Published: (2024)

Can Biases in ImageNet Models Explain Generalization?
by: Gavrikov, Paul, et al.
Published: (2024)

What Makes ImageNet Look Unlike LAION
by: Shirali, Ali, et al.
Published: (2023)

ImageNot: A contrast with ImageNet preserves model rankings
by: Salaudeen, Olawale, et al.
Published: (2024)

How far can we go with ImageNet for Text-to-Image generation?
by: Degeorge, L., et al.
Published: (2025)

Toward Errorless Training ImageNet-1k
by: Deng, Bo, et al.
Published: (2025)

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
by: Yang, William, et al.
Published: (2023)

Comparative Performance of Finetuned ImageNet Pre-trained Models for Electronic Component Classification
by: Shao, Yidi, et al.
Published: (2025)

Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
by: Fatima, Mishal, et al.
Published: (2025)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
by: Zhang, Chenshuang, et al.
Published: (2024)

Accessing Vision Foundation Models via ImageNet-1K
by: Zhang, Yitian, et al.
Published: (2024)

Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
by: Zhang, Weidong, et al.
Published: (2025)

G3DR: Generative 3D Reconstruction in ImageNet
by: Reddy, Pradyumna, et al.
Published: (2024)

Infrared Object Detection with Ultra Small ConvNets: Is ImageNet Pretraining Still Useful?
by: Muralidharan, Srikanth, et al.
Published: (2025)

CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
by: Amangeldi, Aidar, et al.
Published: (2025)

Geometry aware 3D generation from in-the-wild images in ImageNet
by: Shen, Qijia, et al.
Published: (2024)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
by: Crabbé, Jonathan, et al.
Published: (2023)

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
by: Geigle, Gregor, et al.
Published: (2023)

From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
by: Brändle, Sven, et al.
Published: (2025)

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
by: Dahal, Ashim, et al.
Published: (2025)

Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
by: Chen, Junyu, et al.
Published: (2026)

Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
by: Wang, Shunxin, et al.
Published: (2025)

BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
by: Stevens, Samuel
Published: (2025)

FriendNet: Detection-Friendly Dehazing Network
by: Fan, Yihua, et al.
Published: (2024)

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
by: Liu, Jiarun, et al.
Published: (2024)

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
by: Ma, Wufei, et al.
Published: (2024)

Transfer Learning from ImageNet for MEG-Based Decoding of Imagined Speech
by: Jhilal, Soufiane, et al.
Published: (2026)

Scaling Up Deep Clustering Methods Beyond ImageNet-1K
by: Adaloglou, Nikolas, et al.
Published: (2024)

Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
by: Abdi, Masoud, et al.
Published: (2016)

Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
by: Tran, Minh-Tuan, et al.
Published: (2024)

Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps
by: Ouan, Kim, et al.
Published: (2026)

Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis
by: Papadopoulos, Kleanthis Marios, et al.
Published: (2024)

SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
by: Bacchin, Alberto, et al.
Published: (2024)

Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis
by: Matas, Iván, et al.
Published: (2025)