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Found 13 papers, 6 papers with code
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models
In this paper, we introduce MiniSUPERB, a lightweight benchmark that efficiently evaluates SSL speech models with comparable results to SUPERB but lower computational costs significantly.
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark
Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor.
Organ At Risk Segmentation with Multiple Modality
To better leverage different modalities, we have collected a large dataset consists of 136 cases with CT and MR images which diagnosed with nasopharyngeal cancer.
Learnable Gated Temporal Shift Module for Deep Video Inpainting
How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video inpainting problems.
Ranked #7 on
Video Inpainting
on YouTube-VOS 2018
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Free-form video inpainting is a very challenging task that could be widely used for video editing such as text removal.
FishNet: A Camera Localizer using Deep Recurrent Networks
This paper proposes a robust localization system that employs deep learning for better scene representation, and enhances the accuracy of 6-DOF camera pose estimation.
VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal
Video object removal is a challenging task in video processing that often requires massive human efforts.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i. e., 2012-2018.
Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures
To tackle this problem, we propose Netizen Style Commenting (NSC), to automatically generate characteristic comments to a user-contributed fashion photo.
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
Deep learning models such as convolutional neural net- work have been widely used in 3D biomedical segmentation and achieve state-of-the-art performance.
We Can "See" You via Wi-Fi - WiFi Action Recognition via Vision-based Methods
Observing the great resemblance of Channel State Information (CSI, a fine-grained information captured from the received Wi-Fi signal) to texture, we proposed a brand-new framework based on computer vision methods.
Semi-supervised Learning for Convolutional Neural Networks via Online Graph Construction
The recent promising achievements of deep learning rely on the large amount of labeled data.
