Data-free Knowledge Distillation for Fine-grained Visual Categorization
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Renrong, Zhang, Wei, Yin, Jianhua, Wang, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
by: Shao, Renrong, et al.
Published: (2025)
by: Shao, Renrong, et al.
Published: (2025)
Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation
by: Shao, Renrong, et al.
Published: (2025)
by: Shao, Renrong, et al.
Published: (2025)
Consistent Assistant Domains Transformer for Source-free Domain Adaptation
by: Shao, Renrong, et al.
Published: (2025)
by: Shao, Renrong, et al.
Published: (2025)
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
by: Bi, Qi, et al.
Published: (2024)
by: Bi, Qi, et al.
Published: (2024)
Data-free Knowledge Distillation with Diffusion Models
by: Qi, Xiaohua, et al.
Published: (2025)
by: Qi, Xiaohua, et al.
Published: (2025)
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
by: Zhang, Yifan, et al.
Published: (2024)
by: Zhang, Yifan, et al.
Published: (2024)
Distilling Monocular Foundation Model for Fine-grained Depth Completion
by: Liang, Yingping, et al.
Published: (2025)
by: Liang, Yingping, et al.
Published: (2025)
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition
by: Liu, Haiqi, et al.
Published: (2023)
by: Liu, Haiqi, et al.
Published: (2023)
SAMKD: Spatial-aware Adaptive Masking Knowledge Distillation for Object Detection
by: Zhang, Zhourui, et al.
Published: (2025)
by: Zhang, Zhourui, et al.
Published: (2025)
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization
by: Lao, Danning, et al.
Published: (2024)
by: Lao, Danning, et al.
Published: (2024)
Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset
by: Hu, Yutao, et al.
Published: (2025)
by: Hu, Yutao, et al.
Published: (2025)
Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method
by: Ye, Shuo, et al.
Published: (2023)
by: Ye, Shuo, et al.
Published: (2023)
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
by: Wang, Yuzheng, et al.
Published: (2024)
by: Wang, Yuzheng, et al.
Published: (2024)
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
by: Fang, Ziye, et al.
Published: (2023)
by: Fang, Ziye, et al.
Published: (2023)
Vision Mamba Distillation for Low-resolution Fine-grained Image Classification
by: Chen, Yao, et al.
Published: (2024)
by: Chen, Yao, et al.
Published: (2024)
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
DFMSD: Dual Feature Masking Stage-wise Knowledge Distillation for Object Detection
by: Zhang, Zhourui, et al.
Published: (2024)
by: Zhang, Zhourui, et al.
Published: (2024)
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
by: Xu, Qin, et al.
Published: (2024)
by: Xu, Qin, et al.
Published: (2024)
UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images
by: He, Zhiyi, et al.
Published: (2024)
by: He, Zhiyi, et al.
Published: (2024)
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
by: He, Junwen, et al.
Published: (2024)
by: He, Junwen, et al.
Published: (2024)
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM
by: Nie, Ming, et al.
Published: (2026)
by: Nie, Ming, et al.
Published: (2026)
Progressive Class-level Distillation
by: Li, Jiayan, et al.
Published: (2025)
by: Li, Jiayan, et al.
Published: (2025)
DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation
by: Shao, Renrong, et al.
Published: (2026)
by: Shao, Renrong, et al.
Published: (2026)
Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models
by: Sun, Haoyi, et al.
Published: (2026)
by: Sun, Haoyi, et al.
Published: (2026)
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
by: Tran, Minh-Tuan, et al.
Published: (2023)
by: Tran, Minh-Tuan, et al.
Published: (2023)
SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition
by: Yang, Jingxiao, et al.
Published: (2026)
by: Yang, Jingxiao, et al.
Published: (2026)
InstructAttribute: Fine-grained Object Attributes editing with Instruction
by: Yin, Xingxi, et al.
Published: (2025)
by: Yin, Xingxi, et al.
Published: (2025)
Vocabulary-free Fine-grained Visual Recognition via Enriched Contextually Grounded Vision-Language Model
by: Demidov, Dmitry, et al.
Published: (2025)
by: Demidov, Dmitry, et al.
Published: (2025)
Can Students Beyond The Teacher? Distilling Knowledge from Teacher's Bias
by: Zhang, Jianhua, et al.
Published: (2024)
by: Zhang, Jianhua, et al.
Published: (2024)
Cross-modal Full-mode Fine-grained Alignment for Text-to-Image Person Retrieval
by: Yin, Hao, et al.
Published: (2025)
by: Yin, Hao, et al.
Published: (2025)
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos
by: Wu, Zhengqian, et al.
Published: (2024)
by: Wu, Zhengqian, et al.
Published: (2024)
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation
by: Peng, Daowan, et al.
Published: (2025)
by: Peng, Daowan, et al.
Published: (2025)
VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
by: Hu, Xiaobin, et al.
Published: (2026)
by: Hu, Xiaobin, et al.
Published: (2026)
Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception
by: Peng, Ruotian, et al.
Published: (2025)
by: Peng, Ruotian, et al.
Published: (2025)
HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding
by: Xiao, Linhui, et al.
Published: (2024)
by: Xiao, Linhui, et al.
Published: (2024)
Fine-Grained Knowledge Structuring and Retrieval for Visual Question Answering
by: Zhang, Zhengxuan, et al.
Published: (2025)
by: Zhang, Zhengxuan, et al.
Published: (2025)
FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMs
by: Yin, Zhihan, et al.
Published: (2026)
by: Yin, Zhihan, et al.
Published: (2026)
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
by: Wu, Tianxu, et al.
Published: (2023)
by: Wu, Tianxu, et al.
Published: (2023)
CausalFSFG: Rethinking Few-Shot Fine-Grained Visual Categorization from Causal Perspective
by: Yang, Zhiwen, et al.
Published: (2025)
by: Yang, Zhiwen, et al.
Published: (2025)
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs
by: Zhang, Shan, et al.
Published: (2025)
by: Zhang, Shan, et al.
Published: (2025)
Similar Items
-
Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
by: Shao, Renrong, et al.
Published: (2025) -
Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation
by: Shao, Renrong, et al.
Published: (2025) -
Consistent Assistant Domains Transformer for Source-free Domain Adaptation
by: Shao, Renrong, et al.
Published: (2025) -
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
by: Bi, Qi, et al.
Published: (2024) -
Data-free Knowledge Distillation with Diffusion Models
by: Qi, Xiaohua, et al.
Published: (2025)