research
∙
08/30/2023
LLaSM: Large Language and Speech Model
Multi-modal large language models have garnered significant interest rec...
share
research
∙
05/31/2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Self-supervised learning (SSL) has recently emerged as a promising parad...
research
∙
04/17/2023
Chinese Open Instruction Generalist: A Preliminary Release
Instruction tuning is widely recognized as a key technique for building ...
research
∙
08/24/2021
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper...
research
∙
04/19/2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
In semi-supervised domain adaptation, a few labeled samples per class in...
research
∙
10/31/2020
Learning Open Set Network with Discriminative Reciprocal Points
Open set recognition is an emerging research area that aims to simultane...
research
∙
03/11/2020
Kernel Quantization for Efficient Network Compression
This paper presents a novel network compression framework Kernel Quantiz...
research
∙
10/05/2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Few-shot learning, which aims at extracting new concepts rapidly from ex...
research
∙
05/06/2019
P-ODN: Prototype based Open Deep Network for Open Set Recognition
Most of the existing recognition algorithms are proposed for closed set ...
research
∙
01/23/2019
ODN: Opening the Deep Network for Open-set Action Recognition
In recent years, the performance of action recognition has been signific...
research
∙
11/16/2016
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Despite a lot of research efforts devoted in recent years, how to effici...
research
∙
11/16/2016
Joint Network based Attention for Action Recognition
By extracting spatial and temporal characteristics in one network, the t...
research
∙
09/10/2016