Edwin R

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updated a model about 12 hours ago

ERISLab/Hungarian-Pseudo-Hierarchies

Image Classification • Updated about 12 hours ago

updated 2 collections about 12 hours ago

Hungarian Pseudo-Hierarchies (VCIP 2026)

Collection

Hungarian pseudo-hierarchies for coarse-to-fine ultra-fine-grained recognition: SoyLocal, cotton and soybean checkpoints. • 1 item • Updated about 12 hours ago

Hierarchical FGIR: backbones & pretraining (CVGIP 2025)

Collection

Backbones and pretraining for hierarchical fine-grained recognition: fine-tuned and frozen checkpoints on CUB, Aircraft, Cars. • 1 item • Updated about 12 hours ago

updated a model about 12 hours ago

ERISLab/Hierarchical-Backbones

Image Classification • Updated about 12 hours ago

published 2 models about 12 hours ago

ERISLab/Hungarian-Pseudo-Hierarchies

Image Classification • Updated about 12 hours ago

ERISLab/Hierarchical-Backbones

Image Classification • Updated about 12 hours ago

updated a model 5 days ago

ERISLab/TokenReductionPT

Image Classification • Updated 5 days ago

updated a collection 5 days ago

CLCA: Cross-Layer Cache Aggregation (ICASSP 2025)

Collection

Token reduction with cross-layer cache aggregation for ultra-fine-grained image recognition: paper and fine-tuned ViT checkpoints. • 2 items • Updated 5 days ago

published a model 5 days ago

ERISLab/TokenReductionPT

Image Classification • Updated 5 days ago

updated a model 6 days ago

ERISLab/FGIR-ViT

Image Classification • Updated 6 days ago

updated 2 collections 6 days ago

FGIR-KD: how to choose your teacher (FGVC13 @ CVPR 2026)

Collection

2,083 teacher and distilled-student checkpoints for teacher selection in FGIR. Load with fgir-zoo. • 2 items • Updated 6 days ago

TGDA: FGIR from scratch with teacher-guided augmentation

Collection

249 checkpoints of students trained from scratch with a CAL teacher guiding data augmentation. Load with fgir-zoo. • 2 items • Updated 6 days ago

updated a model 6 days ago

ERISLab/FGIR-KD

Image Classification • Updated 6 days ago

published a model 6 days ago

ERISLab/FGIR-KD

Image Classification • Updated 6 days ago

updated a model 6 days ago

ERISLab/TGDA

Image Classification • Updated 6 days ago

published a model 6 days ago

ERISLab/TGDA

Image Classification • Updated 6 days ago

updated a collection 6 days ago

FGIRFT: full fine-tuning benchmark for FGIR

Collection

242 fully fine-tuned ViT-B/16 checkpoints: FGIR heads on 21 datasets at 224 and 448 px. Load with fgir-zoo. • 1 item • Updated 6 days ago