Search Results for author:
Found 8 papers, 7 papers with code
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Cinematic Demixing Track
A significant source of this improvement was making the simulated data better match real cinematic audio, which we further investigate in detail.
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track
We propose a formalization of the errors that can occur in the design of a training dataset for MSS systems and introduce two new datasets that simulate such errors: SDXDB23_LabelNoise and SDXDB23_Bleeding.
Benchmarks and leaderboards for sound demixing tasks
For the models' assessments, we provide the leaderboard at https://mvsep. com/quality_checker/, giving a comparison for a range of models.
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
Recent advances in imaging technology enabled generation of high-quality 3D images that can be used to visualize stalled blood vessels.
Roof material classification from aerial imagery
Proposed methods includes: method of converting ImageNet weights of neural networks for using multi-channel images; special set of features of second level models that are used in addition to specific predictions of neural networks; special set of image augmentations that improve training accuracy.
Weighted boxes fusion: Ensembling boxes from different object detection models
In this work, we present a novel method for combining predictions of object detection models: weighted boxes fusion.
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio
In contrast to the previous art, we, for the first time, propose to estimate CTR with uncertainty bounds.
Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA
Modern mobile neural networks with a reduced number of weights and parameters do a good job with image classification tasks, but even they may be too complex to be implemented in an FPGA for video processing tasks.
