ACT-FRCNN: Progress Towards Transformer-Based Object Detection

ACT-FRCNN: Progress Towards Transformer-Based Object Detection

Maintaining a high input resolution is crucial for more complex tasks like detection or segmentation to ensure that models can adequately identify and reflect fine details in the output. This study aims to reduce the computation costs associated with high-resolution input by using a variant of trans...

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Bibliographic Details
Main Authors: Sukana Zulfqar, Zenab Elgamal, Muhammad Azam Zia, Abdul Razzaq, Sami Ullah, Hussain Dawood
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Algorithms
Subjects:
adaptive clustering transformer (ACT)
object detection
segmentation
computer vision
classification
feature map
Online Access:https://www.mdpi.com/1999-4893/17/11/475
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