Region Proposal

135 papers with code • 1 benchmarks • 5 datasets

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Use these libraries to find Region Proposal models and implementations

Latest papers with no code

Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery

no code yet • 8 Mar 2024

Moreover, we study the performance of both visual and image-text features, namely DINOv2 and CLIP, including two CLIP models specifically tailored for remote sensing applications.

Debiased Novel Category Discovering and Localization

no code yet • 29 Feb 2024

In recent years, object detection in deep learning has experienced rapid development.

CPN: Complementary Proposal Network for Unconstrained Text Detection

no code yet • 18 Feb 2024

Existing methods for scene text detection can be divided into two paradigms: segmentation-based and anchor-based.

Weakly Supervised Open-Vocabulary Object Detection

no code yet • 19 Dec 2023

Despite weakly supervised object detection (WSOD) being a promising step toward evading strong instance-level annotations, its capability is confined to closed-set categories within a single training dataset.

High-resolution power equipment recognition based on improved self-attention

no code yet • 6 Nov 2023

The current trend of automating inspections at substations has sparked a surge in interest in the field of transformer image recognition.

Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks

no code yet • 30 Oct 2023

This underscores the value of radar-Lidar fusion in achieving precise object detection and localization, especially in challenging weather conditions.

Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model

no code yet • 25 Oct 2023

More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction.

Lung Diseases Image Segmentation using Faster R-CNNs

no code yet • 10 Sep 2023

The regional proposal loss and classification loss assess model performance during training and classification phases.

What Makes Good Open-Vocabulary Detector: A Disassembling Perspective

no code yet • 1 Sep 2023

A two-stage object detector includes a visual backbone, a region proposal network (RPN), and a region of interest (RoI) head.

Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies

no code yet • 7 Aug 2023

The objective of the framework is to au-tomatically identify, and crop heat loss sources caused by weak insulation, while also eliminating obstructive objects present in those images.