www.bing.com/ck/a?!&&p=94f297e17d10e98d09c79d501d670b035c59063863d4312247155775a1d96de7JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=0d30d6ac-148c-6d14-16d8-c1bd15ac6c39&u=a1aHR0cHM6Ly9hcG5ld3MuY29tL2FydGljbGUvdWtyYWluZS13YXItemFsdXpobnlpLXplbGVuc2t5eS1yYWlkLTVmZjllNWUyMDU0ZTBiMTdjMTBkYWY1OGQ3ZWFiNjNl&ntb=1
Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.
arxiv.org/abs/2110.14188v1
We consider the problem of searching an input maximizing a black-box objective function given a static dataset of input-output queries. A popular approach to solving this problem is maintaining a proxy model, e.g., a deep neural network (DNN), that a...
github.com/tadejmagajna/HereIsWally
Deep learning project that solves Where's Wally puzzles by finding Wally in an image (⭐ 241)
arxiv.org/abs/2302.12491v3
This paper proposes crack segmentation augmented by super resolution (SR) with deep neural networks. In the proposed method, a SR network is jointly trained with a binary segmentation network in an end-to-end manner. This joint learning allows the SR...
arxiv.org/abs/2207.14561v2
Deep reinforcement learning with domain randomization learns a control policy in various simulations with randomized physical and sensor model parameters to become transferable to the real world in a zero-shot setting. However, a huge number of sampl...
www.bing.com/ck/a?!&&p=fc868e038e46cf86812d92f5b646be50c7159418945893177df5c36f9e74df68JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=15af1a91-beca-6bba-3791-0d80bf016acb&u=a1aHR0cHM6Ly93d3cubmV3ZWxsYnJhbmRzLmNvbS9jb3Jwb3JhdGUtY2l0aXplbnNoaXAvb3VyLW9wZXJhdGlvbnM&ntb=1
Feb 18, 2026 · Employee safety is a top priority at Newell Brands. Over the past year, we maintained the programs that have allowed us to achieve a world-class safety record while deepening our training …
github.com/seekbytes/IPA
GUI analyzer for deep-diving into PDF files. Detect malicious payloads, understand object relationships, and extract key information for threat analysis. (⭐ 870)
github.com/imamdigmi/naomi
Deep Learning For Vehicle License Detection (⭐ 10)
arxiv.org/abs/2303.11526v1
The Lucas-Kanade (LK) method is a classic iterative homography estimation algorithm for image alignment, but often suffers from poor local optimality especially when image pairs have large distortions. To address this challenge, in this paper we prop...
github.com/brain-research/realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms" (⭐ 460)
arxiv.org/abs/1811.02095v1
We apply a fast kernel method for mask-based single-channel speech enhancement. Specifically, our method solves a kernel regression problem associated to a non-smooth kernel function (exponential power kernel) with a highly efficient iterative method...
arxiv.org/abs/2302.10681v4
The rise of mobile AI accelerators allows latency-sensitive applications to execute lightweight Deep Neural Networks (DNNs) on the client side. However, critical applications require powerful models that edge devices cannot host and must therefore of...
arxiv.org/abs/1812.02785v2
The main goal of this work is to form a large, deep and representative sample of dwarf galaxies residing in voids of the nearby Universe. The formed sample is the basement for the comprehensive mass study of the galaxy content, their evolutionary sta...
www.bing.com/ck/a?!&&p=cc95963075696d3ea6b324c48fa3494649bd6fa37fc9d8a6219c143e091713eeJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1830e332-4a62-644d-22ab-f4234bb665c0&u=a1aHR0cHM6Ly93d3cueW91dHViZS5jb20vd2F0Y2g_dj0ycW5xTldZMjBfOA&ntb=1
"We don’t know what we’re up against." As they ventured deeper into the Nexus, the heroes encountered dark sentinels—guardians that protected the realm from ...
arxiv.org/abs/2411.17160v1
Typical deep neural video compression networks usually follow the hybrid approach of classical video coding that contains two separate modules: motion coding and residual coding. In addition, a symmetric auto-encoder is often used as a normal archite...
arxiv.org/abs/2505.06864v1
Stochastic Discount Factor (SDF) models provide a unified framework for asset pricing and risk assessment, yet traditional formulations struggle to incorporate unstructured textual information. We introduce NewsNet-SDF, a novel deep learning framewor...
arxiv.org/abs/math/0606671v1
The purpose of this paper is to deepen the study of the Prüfer $\star$--multiplication domains, where $\star$ is a semistar operation. For this reason, in Section 2, we introduce the $\star$--domains, as a natural extension of the $v$--domains, wh...
arxiv.org/abs/2104.08845v1
Deep learning has achieved notable performance in the denoising task of low-quality medical images and the detection task of lesions, respectively. However, existing low-quality medical image denoising approaches are disconnected from the detection t...
arxiv.org/abs/2001.07776v3
Acquiring large-scale medical image data, necessary for training machine learning algorithms, is frequently intractable, due to prohibitive expert-driven annotation costs. Recent datasets extracted from hospital archives, e.g., DeepLesion, have begun...
arxiv.org/abs/2012.04872v2
Monitoring treatment response in longitudinal studies plays an important role in clinical practice. Accurately identifying lesions across serial imaging follow-up is the core to the monitoring procedure. Typically this incorporates both image and ana...
