Results 221 to 230 of about 188,127 (258)

WMC-DFINE: An Improved DFINE Model for Aluminum Profile Surface Defect Detection. [PDF]

Sensors (Basel)
He P, Ding Y, Yan S, Wang G, Liu X.
europepmc   +1 more source

Adaptive knowledge distillation based structure-text embedding integrating for knowledge graph completion. [PDF]

PLoS One
Li Q, Lv Y, Wei X, Li C, Wei L, Zhang J, Wei W.   +6 more
europepmc   +1 more source

Entropy-Based Dual-Teacher Distillation for Efficient Motor Imagery EEG Classification. [PDF]

Entropy (Basel)
Xu Z, Yu Z.
europepmc   +1 more source

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Adversarial Diffusion Distillation

European Conference on Computer Vision, 2023
We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1-4 steps while maintaining high image quality.
Axel Sauer, Dominik Lorenz, A. Blattmann, Robin Rombach   +3 more
semanticscholar   +1 more source

Revisiting Reverse Distillation for Anomaly Detection

Computer Vision and Pattern Recognition, 2023
Anomaly detection is an important application in large-scale industrial manufacturing. Recent methods for this task have demonstrated excellent accuracy but come with a latency trade-off.
Tran Dinh Tien, Anh Tuan Nguyen, Nguyen H. Tran, Ta Duc Huy, S. T. Duong, Chanh D. Tr, Nguyen, S. Q. Truong   +7 more
semanticscholar   +1 more source

Zephyr: Direct Distillation of LM Alignment

arXiv.org, 2023
We aim to produce a smaller language model that is aligned to user intent. Previous research has shown that applying distilled supervised fine-tuning (dSFT) on larger models significantly improves task accuracy; however, these models are unaligned, i.e ...
Lewis Tunstall, E. Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, L. V. Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf   +13 more
semanticscholar   +1 more source

Membrane distillation

Special Distillation Processes, 2022
Studies in the field of membrane distillation are analysed. A critical analysis of the theoretical and experimental investigations of membrane distillation is presented.
Zhongwei Ding, Zhigang Lei, Chengna Dai, Biaohua Chen   +3 more
semanticscholar   +1 more source

Improved Distribution Matching Distillation for Fast Image Synthesis

Neural Information Processing Systems
Recent approaches have shown promises distilling diffusion models into efficient one-step generators. Among them, Distribution Matching Distillation (DMD) produces one-step generators that match their teacher in distribution, without enforcing a one-to ...
Tianwei Yin, Michael Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman   +6 more
semanticscholar   +1 more source

SDXL-Lightning: Progressive Adversarial Diffusion Distillation

arXiv.org
We propose a diffusion distillation method that achieves new state-of-the-art in one-step/few-step 1024px text-to-image generation based on SDXL. Our method combines progressive and adversarial distillation to achieve a balance between quality and mode ...
Shanchuan Lin, Anran Wang, Xiao Yang
semanticscholar   +1 more source