research
∙
03/29/2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Obtaining large-scale labeled object detection dataset can be costly and...
share
research
∙
12/16/2022
Free-form 3D Scene Inpainting with Dual-stream GAN
Nowadays, the need for user editing in a 3D scene has rapidly increased ...
research
∙
10/08/2022
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
While recent large-scale video-language pre-training made great progress...
research
∙
09/27/2022
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection
To achieve accurate 3D object detection at a low cost for autonomous dri...
research
∙
09/22/2022
Fair Robust Active Learning by Joint Inconsistency
Fair Active Learning (FAL) utilized active learning techniques to achiev...
research
∙
03/21/2022
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
Monocular 3D object detection is an important yet challenging task in au...
research
∙
02/14/2022
ADeADA: Adaptive Density-aware Active Domain Adaptation for Semantic Segmentation
In the field of domain adaptation, a trade-off exists between the model ...
research
∙
11/29/2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Anomaly awareness is an essential capability for safety-critical applica...
research
∙
07/25/2021
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
Despite the success of deep learning on supervised point cloud semantic ...
research
∙
03/03/2021
S^3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
Dense Depth estimation plays a key role in multiple applications such as...
research
∙
10/31/2020
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization
Recently, voice conversion (VC) has been widely studied. Many VC systems...
research
∙
06/09/2020
Hand-crafted Attention is All You Need? A Study of Attention on Self-supervised Audio Transformer
In this paper, we seek to reduce the computation complexity of transform...
research
∙
05/18/2020
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
For self-supervised speech processing, it is crucial to use pretrained m...
research
∙
01/25/2020
Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT
Although Bidirectional Encoder Representations from Transformers (BERT) ...
research
∙
08/22/2019