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06/03/2023
Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection
Safety clothing and helmets play a crucial role in ensuring worker safet...
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05/15/2023
Large Language Models are Zero-Shot Rankers for Recommender Systems
Recently, large language models (LLMs) (e.g. GPT-4) have demonstrated im...
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05/11/2023
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
In the past decades, recommender systems have attracted much attention i...
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04/10/2023
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning
Equipped with the trained environmental dynamics, model-based offline re...
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04/06/2023
VPFusion: Towards Robust Vertical Representation Learning for 3D Object Detection
Efficient point cloud representation is a fundamental element of Lidar-b...
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03/29/2023
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection
Along with the rapid evolution of mobile communication technologies, suc...
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04/26/2022
Centimeter-level Positioning by Instantaneous Lidar-aided GNSS Ambiguity Resolution
High-precision vehicle positioning is key to the implementation of moder...
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12/20/2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
The predicament in semi-supervised few-shot learning (SSFSL) is to maxim...
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08/23/2020
DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets
Inverse Distance Weighted models (IDW) have been widely used for predict...
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05/28/2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
The challenges of high intra-class variance yet low inter-class fluctuat...
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04/24/2020
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
Traditional Traffic Engineering (TE) solutions can achieve the optimal o...
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12/10/2019
To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions
Real-world visual data often exhibits a long-tailed distribution, where ...
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08/04/2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Deep neural networks have demonstrated advanced abilities on various vis...
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04/07/2019
Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning
The recognition ability of human beings is developed in a progressive wa...
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07/02/2018
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency
Detection of pulmonary nodules on chest CT is an essential step in the e...
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11/21/2017
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards
Despite significant progress in a variety of vision-and-language problem...
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11/19/2017
Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement
The number of social images has exploded by the wide adoption of social ...
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12/04/2016