Titlebook: PRICAI 2024: Trends in Artificial Intelligence; 21st Pacific Rim Int Rafik Hadfi,Patricia Anthony,Quan Bai Conference proceedings 2025 The

habitat

不安

Huangyao Deng,Zili Zhang,Wenxin Dong,Chi Zhangponents of DSLs.Carry out large matrix expressions and multiplications .Implement metaprogramming with DSLs.Parse and manipulate expressions .Who This Book Is For.Those with prior programming experience. R knowledge is helpful but not required.  .978-1-4842-3587-4978-1-4842-3588-1

背景

Masato Fujitakeponents of DSLs.Carry out large matrix expressions and multiplications .Implement metaprogramming with DSLs.Parse and manipulate expressions .Who This Book Is For.Those with prior programming experience. R knowledge is helpful but not required.  .978-1-4842-3587-4978-1-4842-3588-1

FECT

Optimal Illumination Distance Metrics for Person Re-identificationethod, Market-1501-IA and Duke-MTMC-IA datasets are constructed, and a large number of experiments are conducted under different lighting conditions to verify the existence of the optimal lighting conditions and the effectiveness of the proposed method.

愚笨

Space-View Decoupled 3D Gaussians for Novel-View Synthesis of Mirror Reflectionsveness. Our SVD-GS achieves real-time rendering on an RTX 4090 GPU at a resolution of 800.800, with a rendering speed of 179 FPS. Importantly, it maintains comparable or superior rendering quality compared to state-of-the-art methods.

phlegm

YOLO-SOD: Improved YOLO Small Object Detection of several modules introduced in this paper for small object detection. On the VisDrone2021 dataset, YOLO-SOD can achieve an accuracy of 31.1% AP50:95 and 52.3% AP50, which are 2.5% and 3.1% higher than the baseline model respectively.

Enrage

Yarui Chen,Fang Bao,Jianlin Shao,Jucheng Yang,Yuan Wang,Tingting Zhaoning optical microscopy, electron microscopy, and surface decorating techniques..."Domains in Ferroic Crystals and Thin Films" covers a large area of material properties and effects connected with static and dy978-1-4939-4054-7978-1-4419-1417-0

Foregery

Prior Mask-Guided Highly Accurate Dichotomous Image Segmentationt. Our BSRNet outperforms 10 state-of-the-art models on the PMG-DIS task by notable margins. Besides, we show that all previous models can be improved when being fed with prior masks. Our code and dataset will be publicly available.

里程碑

漂白

Splitting Objectives: A Method for Improving Training Process of Image Generation Models our method can make the model converge faster and simplify the training process. Our experimental results demonstrate that models trained using our SplitObject method generate images with superior FID scores.