Poster "fine-grained classification" Papers

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Dataset Distillation for Pre-Trained Self-Supervised Vision Models

George Cazenavette, Antonio Torralba, Vincent Sitzmann

NeurIPS 2025posterarXiv:2511.16674

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

Guang Liang, Xinyao Liu, Jianxin Wu

NeurIPS 2025posterarXiv:2506.11784

Merlin L48 Spectrogram Dataset

Aaron Sun, Subhransu Maji, Grant Van Horn

NeurIPS 2025posterarXiv:2511.00252

SIC: Similarity-Based Interpretable Image Classification with Neural Networks

Tom Nuno Wolf, Emre Kavak, Fabian Bongratz et al.

ICCV 2025posterarXiv: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 2024posterarXiv:2409.19439

Fine-grained Classes and How to Find Them

Matej Grcic, Artyom Gadetsky, Maria Brbic

ICML 2024poster

Learning with Unmasked Tokens Drives Stronger Vision Learners

Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.

ECCV 2024posterarXiv:2310.13593

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.

ECCV 2024posterarXiv:2407.04538