CatherineYun
I am ZHANG SHANYUN，a student in SUN YAT-SEN UNIVERSITY, "I am eager to learn on GitHub and contribute my part to this community."
SUN YAT-SEN UNIVERSITYChina(GuangDong)
Pinned Repositories
Finer
A benchmark and analysis for fine-grained visual comprehension (FGVC) tasks in large vision language models (LVLMs).
HIFSOD
Official codes and datasets of HIFSOD
omnimotion
Pink
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
SaSPA-Aug
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
SMDL-Attribution
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
T-SEA
The official code for T-SEA: Transfer-based Self-Ensemble Attack on Object Detection (CVPR2023) Resources
TarDAL
CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
TOAST
Official code for "TOAST: Transfer Learning via Attention Steering"
YUN
CatherineYun's Repositories
CatherineYun/HIFSOD
Official codes and datasets of HIFSOD
CatherineYun/SaSPA-Aug
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
CatherineYun/Pink
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs
CatherineYun/SMDL-Attribution
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
CatherineYun/Finer
A benchmark and analysis for fine-grained visual comprehension (FGVC) tasks in large vision language models (LVLMs).
CatherineYun/YUN
CatherineYun/TarDAL
CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
CatherineYun/omnimotion
CatherineYun/TOAST
Official code for "TOAST: Transfer Learning via Attention Steering"
CatherineYun/T-SEA
The official code for T-SEA: Transfer-based Self-Ensemble Attack on Object Detection (CVPR2023) Resources