Edge-Ready Intelligent Systems

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xedwin23x 

updated a model 2 days ago

ERISLab/TokenReductionPT

Image Classification • Updated 2 days ago

xedwin23x 

updated a collection 2 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 2 days ago

xedwin23x 

published a model 2 days ago

ERISLab/TokenReductionPT

Image Classification • Updated 2 days ago

xedwin23x 

updated a model 3 days ago

ERISLab/FGIR-ViT

Image Classification • Updated 3 days ago

xedwin23x 

updated 2 collections 3 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 3 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 3 days ago

xedwin23x 

updated a model 3 days ago

ERISLab/FGIR-KD

Image Classification • Updated 3 days ago

xedwin23x 

published a model 3 days ago

ERISLab/FGIR-KD

Image Classification • Updated 3 days ago

xedwin23x 

updated a model 3 days ago

ERISLab/TGDA

Image Classification • Updated 3 days ago

xedwin23x 

published a model 4 days ago

ERISLab/TGDA

Image Classification • Updated 3 days ago

xedwin23x 

updated a collection 4 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 4 days ago

xedwin23x 

updated a model 4 days ago

ERISLab/FGIRFT

Image Classification • Updated 4 days ago

xedwin23x 

published a model 4 days ago

ERISLab/FGIRFT

Image Classification • Updated 4 days ago

xedwin23x 

updated 2 collections 4 days ago

FGIR-ViT: ILA, SAW and AAA

Collection

689 parameter-efficient ViT checkpoints for ultra-fine-grained recognition: ILA, SAW and AAA adapters. Load with fgir-zoo. • 2 items • Updated 4 days ago

FGIR-Backbones (FGVC13 @ CVPR 2026)

Collection

825 fine-grained image recognition checkpoints: 16 backbones x FT/FZ/CAL/CALMix on 17 datasets. Load with fgir-zoo. • 2 items • Updated 4 days ago