DeepFaceDrawing Generates Photorealistic Portraits from …
WEBJun 4, 2020 — A team of researchers from the Chinese Academy of Sciences and the City University of Hong Kong has introduced a local-to-global approach that can generate lifelike human portraits from relatively rudimentary sketches. Recent deep image-to-image translation techniques have enabled the prompt generation of human face images from …
87% ImageNet Accuracy, 3.8ms Latency: Google’s MobileNetV4 …
WEBApr 18, 2024 — Efficient on-device neural networks offer rapid, real-time, and interactive experiences while safeguarding private data from public internet exposure. Yet, the computational limitations of mobile devices present a formidable challenge in maintaining a delicate balance between accuracy and efficiency. Addressing this challenge head-on, a …
A Look at Recent Advances in Google Translate | Synced
WEBJun 10, 2020 — Machine learning has significantly boosted automatic translation in recent years. Systems such as 2016's GNMT (Google's Neural Machine Translation System) have improved translation performance in over 100 languages. However, even today's most advanced translation systems still lag behind human performance in almost all respects. …
2020 in Review: 10 AI-Powered Art Projects | Synced
WEBDec 23, 2020 — Art-Up Your Selfies. In styles ranging from Japanese-style anime characters (Waifu) to oil portraits (AI-Art Tokyo) and Disney-style animation (Toonify), AI researchers and developers this year have come up with many ways to artify profile photos.
Microsoft’s BEiT-3 Foundation Model: A ‘Big Convergence of …
WEBAug 30, 2022 — In the new paper Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks, a Microsoft research team presents BEiT-3, a general-purpose state-of-the-art multimodal foundation model for both vision and vision-language tasks that advances the big convergence of backbone architectures, pretraining tasks, …
Superior Alternatives to MLPs? Kolmogorov-Arnold Networks …
WEBMay 6, 2024 — Multi-layer perceptrons (MLPs) stand as the bedrock of contemporary deep learning architectures, serving as indispensable components in various machine learning applications. Leveraging the expressive power conferred by the universal approximation theorem, MLPs excel in approximating nonlinear functions, embodying a default choice …
Google & DeepMind Researchers Revamp ImageNet | Synced
WEBJun 23, 2020 — The idea of building up ImageNet was first proposed by Stanford professor and renowned AI researcher Fei-Fei Li in 2006. According to Wire, Li began working on the idea at a time when most AI research focused on models and algorithms, and she wanted to expand and improve the data available to train AI algorithms. Li assembled a team of …
Yann LeCun Quits Twitter Amid Acrimonious Exchanges on AI Bias
WEBJun 30, 2020 — The artificial intelligence community has made a number of moves in recent years to encourage diversity and inclusivity, such as the “AI for All” initiative launched by Gebru’s Stanford supervisor Fei-Fei Li, and scheduling the major AI conference ICLR 2020 in Ethiopia (the conference went virtual due COVID-19).
Geoffrey Hinton’s Forward-Forward Algorithm Charts a New Path …
WEBDec 8, 2022 — Ten years ago, Geoffrey Hinton and his University of Toronto students published the paper ImageNet Classification with Deep Convolutional Neural Networks, presenting the first convolutional neural network to significantly surpass state-of-the-art results on the ImageNet database.The paper was recently honoured, in its first year of …
Are Patches All You Need? New Study Proposes Patches Are …
WEBOct 12, 2021 — Vision transformer architectures (ViTs) have achieved compelling performance across many computer vision tasks, often outperforming classical convolutional architectures. A question arises: Is the impressive performance of ViTs due to their powerful transformer architecture and attention mechanisms, or is there some other …