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Found 4 papers, 0 papers with code
Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management
This research endeavors to address the pervasive issue of light pollution through an interdisciplinary approach, leveraging data science and machine learning techniques.
Unitail: Detecting, Reading, and Matching in Retail Scene
To make full use of computer vision technology in stores, it is required to consider the actual needs that fit the characteristics of the retail scene.
Ranked #1 on
Dense Object Detection
on SKU-110K
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
In this work, we investigate utilizing this semantic relation together with the visual information and introduce explicit relation reasoning into the learning of novel object detection.
Ranked #14 on
Few-Shot Object Detection
on MS-COCO (30-shot)
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
However, the development of a churn prediction system for a telecom industry is a challenging task, mainly due to the large size of the data, high dimensional features, and imbalanced distribution of the data.
