ATMS-KD: Adaptive Temperature and Mixed Sample Knowledge Distillation for a Lightweight Residual CNN in Agricultural Embedded Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Ohamouddou, Mohamed, Ohamouddou, Said, Afia, Abdellatif El, Lasri, Rafik |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
by: Ohamouddou, Said, et al.
Published: (2025)
by: Ohamouddou, Said, et al.
Published: (2025)
LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning
by: Ohamouddou, Said, et al.
Published: (2026)
by: Ohamouddou, Said, et al.
Published: (2026)
MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification
by: Ohamouddou, Said, et al.
Published: (2025)
by: Ohamouddou, Said, et al.
Published: (2025)
Dynamic Graph CNN with Jacobi Kolmogorov-Arnold Networks for 3D Classification of Point Sets
by: Afia, Hanaa El, et al.
Published: (2025)
by: Afia, Hanaa El, et al.
Published: (2025)
EA-KD: Entropy-based Adaptive Knowledge Distillation
by: Su, Chi-Ping, et al.
Published: (2023)
by: Su, Chi-Ping, et al.
Published: (2023)
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
by: Wang, Yu, et al.
Published: (2022)
by: Wang, Yu, et al.
Published: (2022)
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
by: Lan, Qizhen, et al.
Published: (2025)
by: Lan, Qizhen, et al.
Published: (2025)
TopKD: Top-scaled Knowledge Distillation
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
MoKD: Multi-Task Optimization for Knowledge Distillation
by: Hayder, Zeeshan, et al.
Published: (2025)
by: Hayder, Zeeshan, et al.
Published: (2025)
BD-KD: Balancing the Divergences for Online Knowledge Distillation
by: Amara, Ibtihel, et al.
Published: (2022)
by: Amara, Ibtihel, et al.
Published: (2022)
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling
by: Mekonnen, Kidist Amde, et al.
Published: (2024)
by: Mekonnen, Kidist Amde, et al.
Published: (2024)
CrossKD: Cross-Head Knowledge Distillation for Object Detection
by: Wang, Jiabao, et al.
Published: (2023)
by: Wang, Jiabao, et al.
Published: (2023)
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
by: Zhang, Yuan, et al.
Published: (2023)
by: Zhang, Yuan, et al.
Published: (2023)
Constrained Multi-Objective Genetic Algorithm Variants for Design and Optimization of Tri-Band Microstrip Patch Antenna loaded CSRR for IoT Applications: A Comparative Case Study
by: Boulaich, Moahmed Hamza, et al.
Published: (2026)
by: Boulaich, Moahmed Hamza, 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)
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
by: Zhang, Zaiwei, et al.
Published: (2024)
by: Zhang, Zaiwei, et al.
Published: (2024)
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
by: Caldeira, Eduarda, et al.
Published: (2024)
by: Caldeira, Eduarda, et al.
Published: (2024)
TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation
by: Choi, Sangwon, et al.
Published: (2024)
by: Choi, Sangwon, et al.
Published: (2024)
StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation
by: Kao, Shiu-hong, et al.
Published: (2023)
by: Kao, Shiu-hong, et al.
Published: (2023)
Sample-level Adaptive Knowledge Distillation for Action Recognition
by: Li, Ping, et al.
Published: (2025)
by: Li, Ping, et al.
Published: (2025)
Expandable Residual Approximation for Knowledge Distillation
by: Yan, Zhaoyi, et al.
Published: (2025)
by: Yan, Zhaoyi, et al.
Published: (2025)
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images
by: Ge, Hongyu, et al.
Published: (2025)
by: Ge, Hongyu, et al.
Published: (2025)
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
by: Cao, Jiajun, et al.
Published: (2025)
by: Cao, Jiajun, et al.
Published: (2025)
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
by: Kim, Hyungmin, et al.
Published: (2022)
by: Kim, Hyungmin, et al.
Published: (2022)
Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
by: Sendjasni, Abderrezzaq, et al.
Published: (2024)
by: Sendjasni, Abderrezzaq, et al.
Published: (2024)
AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
by: Babnik, Žiga, et al.
Published: (2024)
by: Babnik, Žiga, et al.
Published: (2024)
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
by: Lee, Jungsoo, et al.
Published: (2025)
by: Lee, Jungsoo, et al.
Published: (2025)
ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model
by: Chen, Yifan, et al.
Published: (2024)
by: Chen, Yifan, et al.
Published: (2024)
DiffKD-DCIS: Predicting Upgrade of Ductal Carcinoma In Situ with Diffusion Augmentation and Knowledge Distillation
by: Li, Tao, et al.
Published: (2026)
by: Li, Tao, et al.
Published: (2026)
CanKD: Cross-Attention-based Non-local operation for Feature-based Knowledge Distillation
by: Sun, Shizhe, et al.
Published: (2025)
by: Sun, Shizhe, et al.
Published: (2025)
Adaptive Temperature Based on Logits Correlation in Knowledge Distillation
by: Matsuyama, Kazuhiro, et al.
Published: (2025)
by: Matsuyama, Kazuhiro, et al.
Published: (2025)
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization
by: Mazouz, Alaa, et al.
Published: (2025)
by: Mazouz, Alaa, et al.
Published: (2025)
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers
by: Lo, Ka Man, et al.
Published: (2024)
by: Lo, Ka Man, et al.
Published: (2024)
AgriKD: Cross-Architecture Knowledge Distillation for Efficient Leaf Disease Classification
by: Le, Minh-Dung, et al.
Published: (2026)
by: Le, Minh-Dung, et al.
Published: (2026)
TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
by: Liu, Ruiping, et al.
Published: (2022)
by: Liu, Ruiping, et al.
Published: (2022)
CLIP-KD: An Empirical Study of CLIP Model Distillation
by: Yang, Chuanguang, et al.
Published: (2023)
by: Yang, Chuanguang, et al.
Published: (2023)
MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction
by: Yan, Ziyang, et al.
Published: (2025)
by: Yan, Ziyang, et al.
Published: (2025)
Improving Lightweight Weed Detection via Knowledge Distillation
by: Saltık, Ahmet Oğuz, et al.
Published: (2025)
by: Saltık, Ahmet Oğuz, et al.
Published: (2025)
ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation
by: Lan, Qizhen, et al.
Published: (2026)
by: Lan, Qizhen, et al.
Published: (2026)
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
by: Kim, Sungnyun, et al.
Published: (2024)
by: Kim, Sungnyun, et al.
Published: (2024)
Similar Items
-
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
by: Ohamouddou, Said, et al.
Published: (2025) -
LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning
by: Ohamouddou, Said, et al.
Published: (2026) -
MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification
by: Ohamouddou, Said, et al.
Published: (2025) -
Dynamic Graph CNN with Jacobi Kolmogorov-Arnold Networks for 3D Classification of Point Sets
by: Afia, Hanaa El, et al.
Published: (2025) -
EA-KD: Entropy-based Adaptive Knowledge Distillation
by: Su, Chi-Ping, et al.
Published: (2023)