Unsupervised Image-to-Image Translation Turns Selfies Into Anime Characters
Anyone can simply upload a selfie to the ‘Selfie 2 Waifu’ website to create their own AI-generated waifu-style anime character in seconds.
Category: Machine Learning & Data Science
OpenAI Puts CV Models Under Their Microscope
Just as biologists gain insights into organisms by putting model specimens under their microscopes, AI Microscope was designed to help researchers analyze the features that form inside leading CV models.
CMU, DeepMind & Google’s XTREME Benchmarks Multilingual Model Generalization Across 40 Languages
XTREME, a multi-task benchmark that evaluates cross-lingual generalization capabilities of multilingual representations across 40 languages and nine tasks.
Hi-Res Image-To-Image Daytime Translation Without Labels
In a bid to generate high-resolution images showing realistic daytime changes while keeping accurate scene semantics, researchers have proposed a novel image-to-image translation model, HiDT (High Resolution Daytime Translation).
‘Active Neural Slam’ Uses Classical and Learning Approaches to Explore 3D Spaces
Researchers have introduced Active Neural SLAM, a modular and hierarchical approach to learning policies for exploring 3D environments.
New NVIDIA and Heidelberg University Viewpoint Estimation Technique Learns From Unlabelled Images
A team of researchers from NVIDIA and Heidelberg University recently introduced an open-source self-supervised learning technique for viewpoint estimation of general objects that draws on such freely available Internet images.
AI Transforms RGB-D Images Into an Impressive 3D Format
Researchers from Virginia Tech, National Tsing Hua University and Facebook have introduced a game-changing algorithm that generates impressive 3D photos from a single RGB-D (colour and depth) image.
AI-Powered Digital People
Synced has identified some interesting AI-powered virtual humans to introduce to our readers.
Use the Force! AI Predicts Human-Object Contact Points and Forces From Video
In a new study, researchers use a physics simulator to learn to predict physical forces in videos of humans interacting with objects.
Deep Fashion3D: Dataset & Benchmark for Virtual Clothing Try-On and More
Deep Fashion3D contains 2,078 3D garment models reconstructed from real-world garments in 10 different clothing categories.
Improving Image Matching: New Open-Source Benchmark with 30K Images
The new benchmark for wide-baseline image matching includes a 30k image dataset with depth maps and accurate pose information.
Facebook AI RegNet Models Outperform EfficientNet Models, Run 5x Faster on GPUs
Researchers from Facebook AI introduce a novel low-dimensional design space, RegNet, which produces simple, fast and versatile networks.
DarwinAI Open-Sources COVID-Net as Medical Imaging in COVID-19 Diagnosis Debate Continues
Researchers recently developed and open-sourced COVID-Net, a convolutional neural network for detecting COVID-19 through chest radiography.
Google DeepMind ‘Agent 57’ Beats Human Baselines Across Atari Games Suite
Agent57 is the first deep reinforcement learning (RL) agent to top human baseline scores on all games in the Atari57 test set.
New Fujitsu & Inria Tech Automatically Builds Anomaly-Detecting AI Models
Fujitsu has collaborated with Inria to develop a new technology that can automatically create AI models that detect anomalies by extracting the necessary information from time-series data.
Women in AI | Chelsea Finn: ‘I Certainly Feel Like a Minority’
As part of the Women in AI special project, Synced spoke with Chelsea Finn, an assistant professor in Computer Science and Electrical Engineering at Stanford University.
‘Front2Back’ AI Reconstructs 3D Shapes from 2D Images
Their proposed framework outperforms state-of-the-art approaches for 3D reconstructions from 2D and 2.5D data, achieving 12 percent better performance on average in the ShapeNet benchmark dataset and up to 19 percent for certain classes of objects.
UN, WHO & Mila Map the AI vs COVID-19 Battlefield
Researchers looks at current studies that are using AI to tackle the COVID-19 crisis and suggests some promising future research directions.
AI Deciphers Persian Cuneiform Tablets from 25 Centuries Ago
Researchers from the University of Chicago Oriental Institute (OI) and the Department of Computer Science have introduced an artificial intelligence tool called DeepScribe designed to read cuneiform tablets from 25 centuries ago.
Novel Hybrid Continual Learning Algorithm Counters Agent Forgetfulness
Researchers have introduced a novel hybrid continual learning algorithm, Adversarial Continual Learning, which aims to enable the persistent explicit or implicit replay of experiences by storing original samples
New Compression Method Enables Conditional GANs on Edge Devices
A research team from MIT, Adobe Research, and Shanghai Jiao Tong University have introduced a novel method for reducing the cost and size of Conditional GAN generators.
Google Introduces Neuroevolution for Self-Interpretable Agents
Researchers from Google Brain Tokyo and Google Japan have proposed a novel approach that helps guide reinforcement learning (RL) agents to what’s important in vision-based tasks.
Impact of ImageNet Model Selection on Domain Adaptation
Researchers investigate how different ImageNet models affect transfer accuracy on domain adaptation problems.
Google Brain Open-Sources EfficientDet: SOTA Performance, 28x Fewer Flops
Google Brain announced this week that it is open-sourcing its object detector EfficientDet, which achieves SOTA performance while requiring significantly less compute.
AI CT Scan Analysis for COVID-19 Detection and Patient Monitoring
A research team has proposed non-contrast thoracic chest CT scans as an effective tool for detecting, quantifying, and tracking COVID-19.
White House & Partners Launch COVID-19 AI Open Research Dataset Challenge on Kaggle
The White House on Monday joined a number of research groups to announce the release of the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group.
BERTLang Helps Researchers Choose Between BERT Models
Researchers from Bocconi University have prepared an online overview of the commonalities and differences between language-specific BERT models and mBERT.
Beyond Lipreading: Visual Speech Recognition Looks You in the Eye
A new study suggests that VSR models could perform even better if they used additional available visual information.
Chinese Researchers Use CNNs to Classify 3000-Year-Old Oracle Bone Scripts
The earliest evidence of China’s recorded history is found in the Shang dynasty (~1600 to 1046 BC), and this hasContinue Reading
Synthesized Paired Data Boosts Facial Manipulation
The model outperforms existing methods in image manipulation and offers researchers a possible solution to the scarcity of paired datasets.
Augmented Training Scheme Fixes CNN Texture Bias
Researchers proposed a new training scheme that targets this bias by controlling and exposing textural information slowly through the training process.
‘Train Large, Then Compress’ – UC Berkeley BAIR Improves Large Transformer Model Training and Inference
Researchers from the Berkeley Artificial Intelligence Research (BAIR) Lab at UC Berkeley explored the effect of Transformer model size on training and inference efficiency.
AutoCompress: SOTA Automatic DNN Pruning for Ultra-High Compression Rates
Researchers proposed an automatic structured pruning framework, AutoCompress, which adopts the 2018 ADMM-based weight pruning algorithm and outperforms previous automatic model compression methods while maintaining high accuracy.
AI-Based Drug Discovery Pipeline Generates Novel Drug Compounds against Coronavirus
A new study leverages an established AI-based drug discovery pipeline to produce molecular structures as part of the widening fight against the 2019-nCoV outbreak.
Yoshua Bengio and Team Introduce GNN Benchmarking Framework
Researchers propose a flexible GNN benchmarking framework that can also accommodate the needs of researchers to add new datasets and models.
Spotting Generated Images Just Got Much Easier
UC Berkeley and Adobe Research have introduced a “universal” detector that can distinguish real images from generated images regardless of what architectures and/or datasets were used for training.
CookGAN Generates Realistic Meal Images From an Ingredients List
Proposed by researchers from the Rutgers University and Samsung AI Center in the UK, CookGAN uses an attention-based ingredients-image association model to condition a generative neural network tasked with synthesizing meal images.
KaoKore: New Facial Dataset from Japanese Scrolls for ML
The KaoKore dataset includes 5552 RGB image files drawn from the 2018 Collection of Facial Expressions dataset of cropped face images from Japanese artworks.
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Researchers propose a novel model compression approach to effectively compress BERT by progressive module replacing.
Robot Lovers Rejoice! Fei-Fei Li Stanford Team Crowd-Sources World’s Largest Robot Manipulation Dataset
The crowdsourcing produced 111.25 hours of video from 54 non-expert demonstrators to build “one of the largest, richest, and most diverse robot manipulation datasets ever collected using human creativity and dexterity.”