Resultados de búsqueda - (coding OR Decoding) (algorithm OR algorithmssics)

GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator por Liu, Xingyu, Zhang, Ruida, Zhang, Chenyangguang, Wang, Gu, Tang, Jiwen, Li, Zhigang, Ji, Xiangyang

Tabla de Contenidos: “… followed by applying the RANSAC-based PnP or Kabsch algorithms, and further employing ICP for refinement…”
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Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks por Dahari, Amir, Kench, Steve, Squires, Isaac, Cooper, Samuel J.

Tabla de Contenidos: “… in terms of its fidelity and ease of use. Furthermore, much of the data required to train this algorithm…”
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Towards Generalized Few-Shot Open-Set Object Detection por Su, Binyi, Zhang, Hua, Li, Jingzhi, Zhou, Zhong

Tabla de Contenidos: “… to overfit on the known classes, resulting in a poor open-set performance. We propose a new G-FOOD algorithm…”
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Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables por Li, Jiacheng, Chen, Chang, Cheng, Zhen, Xiong, Zhiwei

Tabla de Contenidos: “… for efficient image restoration algorithms. The way of caching deep learning models in a look-up table (LUT…”
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Securing Neural Networks with Knapsack Optimization por Gorski, Yakir, Jevnisek, Amir, Avidan, Shai

Tabla de Contenidos: “… devise an algorithm to choose the optimal set of patch sizes through a novel reduction of the problem…”
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Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling por Shao, Shitong, Dai, Xu, Li, Lujun, Chen, Huanran, Hu, Yang, Yin, Shouyi

Tabla de Contenidos: “… sampling algorithms via knowledge distillation rely on pre-trained model weights and discrete time step…”
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FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization por Lee, Jung Hyun, Kim, Jeonghoon, Kwon, Se Jung, Lee, Dongsoo

Tabla de Contenidos: “… developed algorithms to devise and learn a new weight-rounding scheme so as to better reconstruct each layer…”
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Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? por Liang, Daojun, Zhang, Haixia, Yuan, Dongfeng, Ma, Xiaoyan, Li, Dongyang, Zhang, Minggao

Tabla de Contenidos: “… the suitable input length), a Multi-GPU Asynchronous parallel algorithm based on Bayesian Optimization (MABO…”
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FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering por Li, Zhenyu, Fan, Sunqi, Gu, Yu, Li, Xiuxing, Duan, Zhichao, Dong, Bowen, Liu, Ning, Wang, Jianyong

Tabla de Contenidos: “… the challenges inherent in the few-shot KBQA task. Specifically, FlexKBQA leverages automated algorithms…”
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Certifying LLM Safety against Adversarial Prompting por Kumar, Aounon, Agarwal, Chirag, Srinivas, Suraj, Li, Aaron Jiaxun, Feizi, Soheil, Lakkaraju, Himabindu

Tabla de Contenidos: “… prompts generated by the Greedy Coordinate Gradient (GCG) attack algorithm. The code for our experiments…”
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Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction por Cai, Chang, Yuan, Xiaojun, Zhang, Ying-Jun Angela

Tabla de Contenidos: “…. Specifically, we leverage the maximal coding rate reduction (MCR2) objective as a surrogate to represent…”
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Enhancing Interpretability and Generalizability in Extended Isolation Forests por Arcudi, Alessio, Frizzo, Davide, Masiero, Chiara, Susto, Gian Antonio

Tabla de Contenidos: “… Learning (ML) algorithms and Decision Support Systems (DSSs) provide effective solutions for AD…”
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Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? por Tsai, Yu-Lin, Hsu, Chia-Yi, Xie, Chulin, Lin, Chih-Hsun, Chen, Jia-You, Li, Bo, Chen, Pin-Yu, Yu, Chia-Mu, Huang, Chun-Ying

Tabla de Contenidos: “… by proposing one novel concept retrieval algorithm for evaluation. We introduce Ring-A-Bell, a model-agnostic…”
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Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web por Ramesh, Vishal, Zhao, Rui, Goel, Naman

Tabla de Contenidos: “… such as Intel SGX rely on hardware based features for confidentiality and integrity of code and data. We discuss…”
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FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2 por Sdraka, Maria, Dimakos, Alkinoos, Malounis, Alexandros, Ntasiou, Zisoula, Karantzalos, Konstantinos, Michail, Dimitrios, Papoutsis, Ioannis

Tabla de Contenidos: “… use FLOGA to provide a thorough comparison of multiple Machine Learning and Deep Learning algorithms…”
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Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques por Thoreau, Romain, Risser, Laurent, Achard, Véronique, Berthelot, Béatrice, Briottet, Xavier

Tabla de Contenidos: “…-of-the-art machine learning algorithms to map the land cover has been dramatically limited…”
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LDConv: Linear deformable convolution for improving convolutional neural networks por Zhang, Xin, Song, Yingze, Song, Tingting, Yang, Degang, Ye, Yichen, Zhou, Jie, Zhang, Liming

Tabla de Contenidos: “… for the trade-off between network overhead and performance. In LDConv, a novel coordinate generation algorithm…”
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Hide Your Model: A Parameter Transmission-free Federated Recommender System por Yuan, Wei, Yang, Chaoqun, Qu, Liang, Nguyen, Quoc Viet Hung, Li, Jianxin, Yin, Hongzhi

Tabla de Contenidos: “… to the recommender model, including its algorithm and parameters, constitutes the platforms' intellectual property…”
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Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis por Kotal, Anantaa, Elluri, Lavanya, Gupta, Deepti, Mandalapu, Varun, Joshi, Anupam

Tabla de Contenidos: “… framework for enforcing privacy policy rules in privacy-preserving data generation algorithms. We explore…”
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IODeep: an IOD for the introduction of deep learning in the DICOM standard por Contino, Salvatore, Cruciata, Luca, Gambino, Orazio, Pirrone, Roberto

Tabla de Contenidos: “…: The IOD architecture is presented along with a DNN selection algorithm from the PACS server based…”
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