Finally, we apply DPO with the contrastive samples to align the model to human preference.
The integration of Federated Learning (FL) and Self-supervised Learning (SSL) offers a unique and synergetic combination to exploit the audio data for general-purpose audio understanding, without compromising user data privacy.
Our first step involves encoding a sample of production data as the target distribution, and the model training data as the reference distribution.
Unlike the single-scan-based semantic segmentation task, this task requires distinguishing the motion states of points in addition to their semantic categories.
This report presents the technical details of our submission to the 2023 Epic-Kitchen EPIC-SOUNDS Audio-Based Interaction Recognition Challenge.
We propose a novel heterogeneous graph-based framework to leverage the inter-relationships among different types of nuclei for WSI analysis.
We introduce visual ability into the large language model to complete the ophthalmic large language and vision assistant (OphGLM).
SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic segmentation.
Ranked #2 on Unsupervised 3D Semantic Segmentation on ScanNetV2
With the rapid development of mobile devices, modern widely-used mobile phones typically allow users to capture 4K resolution (i. e., ultra-high-definition) images.
Ranked #1 on Image Restoration on UHDM
Yet, the security and privacy of the extracted features from deep learning models (deep features) have been often overlooked.
no code implementations • 6 May 2022 • Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.
Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.
Moire patterns, appearing as color distortions, severely degrade image and video qualities when filming a screen with digital cameras.
Next, a fully convolutional network is proposed to achieve the low-light image enhancement by fusing colored raw data with synthesized monochrome raw data.
In this paper, we investigate the real clinical fundus image restoration problem.
Towards high-quality temporal action detection, we introduce Sparse Proposals to interact with the hierarchical features.
WOO takes a unified video backbone to simultaneously extract features for actor location and action classification.
In this paper, a hierarchical multi-UAV simulation platform, called XTDrone, is designed for UAV swarms, which is completely open-source 4 .
When taking photos in dim-light environments, due to the small amount of light entering, the shot images are usually extremely dark, with a great deal of noise, and the color cannot reflect real-world color.