Copertina

DiffKD-DCIS: Predicting Upgrade of Ductal Carcinoma In Situ with Diffusion Augmentation and Knowledge Distillation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Tao, Li, Qing, Li, Na, Xie, Hui
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
di: Lan, Qizhen, et al.
Pubblicazione: (2025)

FreeKD: Knowledge Distillation via Semantic Frequency Prompt
di: Zhang, Yuan, et al.
Pubblicazione: (2023)

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
di: Li, Muquan, et al.
Pubblicazione: (2024)

CrossKD: Cross-Head Knowledge Distillation for Object Detection
di: Wang, Jiabao, et al.
Pubblicazione: (2023)

KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
di: Wang, Yu, et al.
Pubblicazione: (2022)

LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
di: Zhang, Dingkun, et al.
Pubblicazione: (2024)

TopKD: Top-scaled Knowledge Distillation
di: Wang, Qi, et al.
Pubblicazione: (2025)

MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction
di: Yan, Ziyang, et al.
Pubblicazione: (2025)

Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models
di: Sun, Haoyi, et al.
Pubblicazione: (2026)

MoKD: Multi-Task Optimization for Knowledge Distillation
di: Hayder, Zeeshan, et al.
Pubblicazione: (2025)

EA-KD: Entropy-based Adaptive Knowledge Distillation
di: Su, Chi-Ping, et al.
Pubblicazione: (2023)

BD-KD: Balancing the Divergences for Online Knowledge Distillation
di: Amara, Ibtihel, et al.
Pubblicazione: (2022)

ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model
di: Chen, Yifan, et al.
Pubblicazione: (2024)

ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images
di: Ge, Hongyu, et al.
Pubblicazione: (2025)

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
di: Li, Zheng, et al.
Pubblicazione: (2024)

DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
di: Xiong, Junwen, et al.
Pubblicazione: (2024)

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
di: Cao, Jiajun, et al.
Pubblicazione: (2025)

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model
di: Feng, Qianhan, et al.
Pubblicazione: (2024)

Conditional Diffusion Model with Anatomical-Dose Dual Constraints for End-to-End Multi-Tumor Dose Prediction
di: Xie, Hui, et al.
Pubblicazione: (2025)

Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling
di: Mekonnen, Kidist Amde, et al.
Pubblicazione: (2024)

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
di: Zhang, Zaiwei, et al.
Pubblicazione: (2024)

MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
di: Caldeira, Eduarda, et al.
Pubblicazione: (2024)

TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation
di: Choi, Sangwon, et al.
Pubblicazione: (2024)

StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation
di: Kao, Shiu-hong, et al.
Pubblicazione: (2023)

GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
di: Li, Yuqi, et al.
Pubblicazione: (2026)

AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
di: Babnik, Žiga, et al.
Pubblicazione: (2024)

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
di: Lee, Jungsoo, et al.
Pubblicazione: (2025)

CanKD: Cross-Attention-based Non-local operation for Feature-based Knowledge Distillation
di: Sun, Shizhe, et al.
Pubblicazione: (2025)

Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
di: Liang, Renjie, et al.
Pubblicazione: (2023)

AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
di: Kim, Hyungmin, et al.
Pubblicazione: (2022)

Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation
di: Liang, Jiawei, et al.
Pubblicazione: (2022)

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
di: Kim, Sungnyun, et al.
Pubblicazione: (2024)

Data-free Knowledge Distillation with Diffusion Models
di: Qi, Xiaohua, et al.
Pubblicazione: (2025)

CLIP-KD: An Empirical Study of CLIP Model Distillation
di: Yang, Chuanguang, et al.
Pubblicazione: (2023)

AgriKD: Cross-Architecture Knowledge Distillation for Efficient Leaf Disease Classification
di: Le, Minh-Dung, et al.
Pubblicazione: (2026)

m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers
di: Lo, Ka Man, et al.
Pubblicazione: (2024)

KD-Judge: A Knowledge-Driven Automated Judge Framework for Functional Fitness Movements on Edge Devices
di: Saha, Shaibal, et al.
Pubblicazione: (2026)

CCIS-Diff: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis
di: Xie, Yifan, et al.
Pubblicazione: (2024)

ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation
di: Lan, Qizhen, et al.
Pubblicazione: (2026)

TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
di: Liu, Ruiping, et al.
Pubblicazione: (2022)