Trending Research
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language
microsoft/2D-TAN
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It is a challenging problem because a target moment may take place in the context of other temporal moments in the untrimmed video.
Package for Fast ABC-Boost
Although the gain formula in Li (2010) was derived for logistic regression loss, it is a generic formula for loss functions with second-derivatives.
FRA-RIR: Fast Random Approximation of the Image-source Method
yluo42/fra-rir
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The training of modern speech processing systems often requires a large amount of simulated room impulse response (RIR) data in order to allow the systems to generalize well in real-world, reverberant environments.
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
In RDMs, a set of nearest neighbors is retrieved from an external database during training for each training instance, and the diffusion model is conditioned on these informative samples.
Hybrid Spectrogram and Waveform Source Separation
Source separation models either work on the spectrogram or waveform domain.
Ranked #1 on
Music Source Separation
on MUSDB18
GAUDI: A Neural Architect for Immersive 3D Scene Generation
We introduce GAUDI, a generative model capable of capturing the distribution of complex and realistic 3D scenes that can be rendered immersively from a moving camera.
Ranked #1 on
Image Generation
on ARKitScenes
Label-Free Synthetic Pretraining of Object Detectors
Our "SOLID" approach consists of two main components: (1) generating synthetic images using a collection of unlabelled 3D models with optimized scene arrangement; (2) pretraining an object detector on "instance detection" task - given a query image depicting an object, detecting all instances of the exact same object in a target image.
Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios
Then, Next Hybrid Strategy (NHS) is designed to stack NCB and NTB in an efficient hybrid paradigm, which boosts performance in various downstream tasks.
Artificial Intelligence and Machine Learning for Quantum Technologies
In recent years, the dramatic progress in machine learning has begun to impact many areas of science and technology significantly.
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
