research
∙
08/21/2023
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models
Detecting stereotypes and biases in Large Language Models (LLMs) can enh...
share
research
∙
04/13/2023
DDT: Dual-branch Deformable Transformer for Image Denoising
Transformer is beneficial for image denoising tasks since it can model l...
research
∙
03/07/2023
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
LiDAR-camera fusion methods have shown impressive performance in 3D obje...
research
∙
10/18/2022
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
Multi-modal 3D object detection has been an active research topic in aut...
research
∙
07/23/2022
Progressive Scene Text Erasing with Self-Supervision
Scene text erasing seeks to erase text contents from scene images and cu...
research
∙
01/25/2022
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis
Nowadays, with the explosive growth of multimodal reviews on social medi...
research
∙
01/24/2022
Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide
The document layout analysis (DLA) aims to decompose document images int...
research
∙
11/27/2021
Document Layout Analysis with Aesthetic-Guided Image Augmentation
Document layout analysis (DLA) plays an important role in information ex...
research
∙
08/04/2021
Human-In-The-Loop Document Layout Analysis
Document layout analysis (DLA) aims to divide a document image into diff...
research
∙
08/02/2021
A Survey of Human-in-the-loop for Machine Learning
Human-in-the-loop aims to train an accurate prediction model with minimu...
research
∙
04/07/2021
Document Layout Analysis via Dynamic Residual Feature Fusion
The document layout analysis (DLA) aims to split the document image into...
research
∙
11/04/2019
Scene Text Recognition with Temporal Convolutional Encoder
Texts from scene images typically consist of several characters and exhi...
research
∙
07/04/2019
Video Crowd Counting via Dynamic Temporal Modeling
Crowd counting aims to count the number of instantaneous people in a cro...
research
∙
12/06/2018