xiuqhou/Relation-DETR
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"
This project helps researchers and machine learning engineers working on computer vision tasks to improve object detection performance. It takes an image as input and outputs precise bounding box detections for objects within that image, leveraging advanced techniques to understand the spatial relationships between objects. This results in more accurate and robust object detection models.
254 stars. No commits in the last 6 months.
Use this if you are a computer vision researcher or ML engineer developing state-of-the-art object detection models and need to enhance their accuracy by explicitly considering object relationships.
Not ideal if you are a beginner looking for a simple, off-the-shelf object detection solution without diving into advanced model architecture.
Stars
254
Forks
18
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 24, 2024
Commits (30d)
0
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