Poster "fine-grained classification" Papers
14 papers found
Conference
Dataset Distillation for Pre-Trained Self-Supervised Vision Models
George Cazenavette, Antonio Torralba, Vincent Sitzmann
NEURIPS 2025arXiv:2511.16674
1
citations
GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers
Guang Liang, Xinyao Liu, Jianxin Wu
NEURIPS 2025arXiv:2506.11784
4
citations
Merlin L48 Spectrogram Dataset
Aaron Sun, Subhransu Maji, Grant Van Horn
NEURIPS 2025arXiv:2511.00252
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai et al.
CVPR 2025arXiv:2501.09333
6
citations
SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery
Zhenqi He, Yuanpei Liu, Kai Han
NEURIPS 2025arXiv:2510.18740
2
citations
SIC: Similarity-Based Interpretable Image Classification with Neural Networks
Tom Nuno Wolf, Emre Kavak, Fabian Bongratz et al.
ICCV 2025arXiv:2501.17328
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Andy V Huynh, Lauren Gillespie, Jael Lopez-Saucedo et al.
ECCV 2024arXiv:2409.19439
12
citations
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood et al.
CVPR 2024arXiv:2405.14881
90
citations
Fine-grained Classes and How to Find Them
Matej Grcic, Artyom Gadetsky, Maria Brbic
ICML 2024
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.
ECCV 2024arXiv:2310.13593
3
citations
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.
ECCV 2024arXiv:2407.04538
6
citations
Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias
Jinhyeok Jang, ByungOk Han, Jaehong Kim et al.
ECCV 2024
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Minhyun Lee, Song Park, Byeongho Heo et al.
ECCV 2024arXiv:2312.10105
2
citations
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing
Xudong Wang, Ke-Yue Zhang, Taiping Yao et al.
ECCV 2024
11
citations