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91 to 100 of 223 Results
Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Zicheng; Zhang, Erli; Chen, Chaofeng; Liao, Liang; Wang, Annan; Xu, Kaixin; Li, Chunyi; Hou, Jingwen; Zhai, Guangtao; Xue, Geng; Sun, Wenxiu; Yan, Qiong; Lin, Weisi, 2024, "Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models", https://doi.org/10.21979/N9/GPLPNI, DR-NTU (Data), V1
The dataset consisting of human natural language feedback on low-level vision.
Related Data for: Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers
Related Data for: Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers
Jan 23, 2024 - LYU Mingzhi
Lyu, Mingzhi; Huang, Yi; Kong, Adams Wai-Kin, 2024, "Related Data for: Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers", https://doi.org/10.21979/N9/JNH3P4, DR-NTU (Data), V1
This dataset contains the main codes for the paper "Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers", which proposes a method to protect visible watermark on images against deep-learning-based watermark removers.
Basal Cell Carcinoma by Reflectance Confocal Microscopy images
Jan 23, 2024 - XU Shifeng
Xu, Shifeng; Kong, Adams Wai Kin, 2024, "Basal Cell Carcinoma by Reflectance Confocal Microscopy images", https://doi.org/10.21979/N9/U4FPB1, DR-NTU (Data), V1
Classification on reflectance confocal microscopy images of basal cell carcinoma.
Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
Dec 18, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Weichen, 2023, "Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting", https://doi.org/10.21979/N9/SJX3HR, DR-NTU (Data), V1
The related data for "Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting".
Replication Data for: iMAT: Energy-Efficient In-Memory Acceleration of Ternary Neural Networks With Sparse Dot Product
Replication Data for: iMAT: Energy-Efficient In-Memory Acceleration of Ternary Neural Networks With Sparse Dot Product
Dec 18, 2023 - Zhu Shien
Zhu, Shien; Huai, Shuo; Xiong, Guochu; Liu, Weichen, 2023, "Replication Data for: iMAT: Energy-Efficient In-Memory Acceleration of Ternary Neural Networks With Sparse Dot Product", https://doi.org/10.21979/N9/B4SIIN, DR-NTU (Data), V1, UNF:6:KboaxJ9ZX4FgcAqcXn8SqQ== [fileUNF]
This dataset contains the simulation environment, simulation results, and post-processing data for the iMAT paper published in ISLPED 2023.
Related data for: Contention Minimized Bypassing in SMART NoC
Dec 15, 2023 - Peng Chen
Chen, Peng, 2023, "Related data for: Contention Minimized Bypassing in SMART NoC", https://doi.org/10.21979/N9/BPBOYK, DR-NTU (Data), V1
This dataset contains keycodes for the proposed algorithms in the paper.
Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Dec 14, 2023 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Chen, Hui; Di, Liu; Liu, Weichen, 2023, "Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks", https://doi.org/10.21979/N9/DYKUPV, DR-NTU (Data), V1, UNF:6:UCCl9ySs+IN5trVkl2AGQQ== [fileUNF]
This dataset contains the codes, figures, and tables for the TCAD 2022 paper: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks.
Related data for: An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning
Dec 14, 2023 - Li Shiqing
Li, Shiqing, 2023, "Related data for: An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning", https://doi.org/10.21979/N9/MTHKVG, DR-NTU (Data), V1
Training procedure of the paper
Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI
Dec 14, 2023 - Kong Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI", https://doi.org/10.21979/N9/GCAMZH, DR-NTU (Data), V1
This is the source code repository for the publication "EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI".
Related data for attacks on MR-based sensing in photonic NoCs
Dec 14, 2023 - Zhou Edo Jun
Zhou, Edo Jun, 2023, "Related data for attacks on MR-based sensing in photonic NoCs", https://doi.org/10.21979/N9/QCCDO2, DR-NTU (Data), V1, UNF:6:jFMY/5WXBKZ44ox8sUHjsA== [fileUNF]
Related date used in the specific submitted/accepted publication in IEEE ISVLSI.
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