Saved in:
| Main Authors: | Shen, Qijia, Wang, Guangrun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.00225 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
Speedrunning ImageNet Diffusion
by: Bhanded, Swayam
Published: (2025)
by: Bhanded, Swayam
Published: (2025)
How far can we go with ImageNet for Text-to-Image generation?
by: Degeorge, L., et al.
Published: (2025)
by: Degeorge, L., et al.
Published: (2025)
G3DR: Generative 3D Reconstruction in ImageNet
by: Reddy, Pradyumna, et al.
Published: (2024)
by: Reddy, Pradyumna, et al.
Published: (2024)
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
by: Ma, Wufei, et al.
Published: (2024)
by: Ma, Wufei, et al.
Published: (2024)
Flaws of ImageNet, Computer Vision's Favourite Dataset
by: Kisel, Nikita, et al.
Published: (2024)
by: Kisel, Nikita, et al.
Published: (2024)
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
by: Vishniakov, Kirill, et al.
Published: (2023)
by: Vishniakov, Kirill, et al.
Published: (2023)
Fine-Grained ImageNet Classification in the Wild
by: Lymperaiou, Maria, et al.
Published: (2023)
by: Lymperaiou, Maria, et al.
Published: (2023)
What Makes ImageNet Look Unlike LAION
by: Shirali, Ali, et al.
Published: (2023)
by: Shirali, Ali, et al.
Published: (2023)
ImageNot: A contrast with ImageNet preserves model rankings
by: Salaudeen, Olawale, et al.
Published: (2024)
by: Salaudeen, Olawale, et al.
Published: (2024)
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
by: Venkataramanan, Shashanka, et al.
Published: (2023)
by: Venkataramanan, Shashanka, et al.
Published: (2023)
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
by: Yang, William, et al.
Published: (2023)
by: Yang, William, et al.
Published: (2023)
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
by: Wang, Shunxin, et al.
Published: (2025)
by: Wang, Shunxin, et al.
Published: (2025)
Automated Classification of Model Errors on ImageNet
by: Peychev, Momchil, et al.
Published: (2023)
by: Peychev, Momchil, et al.
Published: (2023)
Infrared Object Detection with Ultra Small ConvNets: Is ImageNet Pretraining Still Useful?
by: Muralidharan, Srikanth, et al.
Published: (2025)
by: Muralidharan, Srikanth, et al.
Published: (2025)
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
by: Geigle, Gregor, et al.
Published: (2023)
by: Geigle, Gregor, et al.
Published: (2023)
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
by: Amangeldi, Aidar, et al.
Published: (2025)
by: Amangeldi, Aidar, et al.
Published: (2025)
Can Biases in ImageNet Models Explain Generalization?
by: Gavrikov, Paul, et al.
Published: (2024)
by: Gavrikov, Paul, et al.
Published: (2024)
Toward Errorless Training ImageNet-1k
by: Deng, Bo, et al.
Published: (2025)
by: Deng, Bo, et al.
Published: (2025)
Comparative Performance of Finetuned ImageNet Pre-trained Models for Electronic Component Classification
by: Shao, Yidi, et al.
Published: (2025)
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)
by: Fatima, Mishal, et al.
Published: (2025)
Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
by: Chen, Junyu, et al.
Published: (2026)
by: Chen, Junyu, et al.
Published: (2026)
BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
by: Stevens, Samuel
Published: (2025)
by: Stevens, Samuel
Published: (2025)
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
by: Zhang, Chenshuang, et al.
Published: (2024)
by: Zhang, Chenshuang, et al.
Published: (2024)
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
by: Yin, Zeyuan, et al.
Published: (2023)
by: Yin, Zeyuan, et al.
Published: (2023)
Transfer Learning from ImageNet for MEG-Based Decoding of Imagined Speech
by: Jhilal, Soufiane, et al.
Published: (2026)
by: Jhilal, Soufiane, et al.
Published: (2026)
Accessing Vision Foundation Models via ImageNet-1K
by: Zhang, Yitian, et al.
Published: (2024)
by: Zhang, Yitian, et al.
Published: (2024)
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
by: Hao, Jinkun, et al.
Published: (2024)
by: Hao, Jinkun, et al.
Published: (2024)
Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
by: Crabbé, Jonathan, et al.
Published: (2023)
by: Crabbé, Jonathan, et al.
Published: (2023)
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
by: Zhang, Weidong, et al.
Published: (2025)
by: Zhang, Weidong, et al.
Published: (2025)
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
by: Tran, Minh-Tuan, et al.
Published: (2024)
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)
by: Ouan, Kim, et al.
Published: (2026)
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
by: Hoogeboom, Emiel, et al.
Published: (2024)
by: Hoogeboom, Emiel, et al.
Published: (2024)
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
by: Liu, Jiarun, et al.
Published: (2024)
by: Liu, Jiarun, et al.
Published: (2024)
Rethinking Transfer Learning for Industrial Inspection: DINOv3 vs. ImageNet Pretraining Across RGB and X-ray Tasks
by: Gharbage, Mehdi, et al.
Published: (2026)
by: Gharbage, Mehdi, et al.
Published: (2026)
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
by: Adaloglou, Nikolas, et al.
Published: (2024)
by: Adaloglou, Nikolas, et al.
Published: (2024)
Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2
by: Lahrichi, Saad, et al.
Published: (2025)
by: Lahrichi, Saad, 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)
by: Dahal, Ashim, et al.
Published: (2025)
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
by: Bacchin, Alberto, et al.
Published: (2024)
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)
by: Matas, Iván, et al.
Published: (2025)
Similar Items
-
F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting
by: Wang, Yuxin, et al.
Published: (2025) -
Speedrunning ImageNet Diffusion
by: Bhanded, Swayam
Published: (2025) -
How far can we go with ImageNet for Text-to-Image generation?
by: Degeorge, L., et al.
Published: (2025) -
G3DR: Generative 3D Reconstruction in ImageNet
by: Reddy, Pradyumna, et al.
Published: (2024) -
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
by: Ma, Wufei, et al.
Published: (2024)