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mill413 committed Apr 10, 2024
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---
layout: post
title: Day49 - Backbone中C3/C2f后添加一层CA在FLIR上的表现
date: 2024-04-09 15:03 +0800
category: [读研日记]
tags: []
img_path: "/assets/img/posts/"
---

yolov5n/s/m和yolov8n/s仅在backbone的C3/C2f模块后添加一层CA,在FLIR上训练200epochs

- Yolov5n-ca

Parameters: 2.667M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.628| 0.443| 0.494| 0.292|
| person| 0.836| 0.607| 0.742| 0.411|
| bike| 0.537| 0.418| 0.41| 0.245|
| car| 0.853| 0.732| 0.833| 0.587|
| motor| 0.804| 0.521| 0.623| 0.302|
| bus| 0.801| 0.475| 0.619| 0.417|
| truck| 0.33| 0.391| 0.218| 0.141|
| light| 0.748| 0.37| 0.479| 0.224|
| other vehicle| 0.116| 0.0317| 0.0291| 0.0122|

- Yolov5s-ca

Parameters: 9.191M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.628| 0.513| 0.557| 0.338|
| person| 0.836| 0.678| 0.785| 0.465|
| bike| 0.587| 0.512| 0.521| 0.321|
| car| 0.859| 0.788| 0.865| 0.627|
| motor| 0.748| 0.6| 0.724| 0.38|
| bus| 0.746| 0.508| 0.655| 0.439|
| truck| 0.39| 0.478| 0.286| 0.184|
| light| 0.777| 0.509| 0.583| 0.277|
| other vehicle| 0.0765| 0.0317| 0.0361| 0.0122|

- Yolov5m-ca

Parameters: 25.191M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.694| 0.527| 0.575| 0.363|
| person| 0.884| 0.659| 0.808| 0.49|
| bike| 0.621| 0.559| 0.561| 0.35|
| car| 0.901| 0.788| 0.881| 0.648|
| motor| 0.811| 0.582| 0.674| 0.388|
| bus| 0.807| 0.531| 0.672| 0.481|
| truck| 0.398| 0.457| 0.288| 0.198|
| light| 0.842| 0.502| 0.616| 0.298|
| other vehicle| 0.292| 0.143| 0.0975| 0.0472|

- Yolov8n-ca

Parameters: 3.170M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.583| 0.481| 0.505| 0.3|
| person| 0.786| 0.665| 0.749| 0.422|
| bike| 0.471| 0.441| 0.435| 0.263|
| car| 0.811| 0.772| 0.841| 0.595|
| motor| 0.767| 0.636| 0.671| 0.332|
| bus| 0.777| 0.488| 0.615| 0.427|
| truck| 0.232| 0.37| 0.213| 0.131|
| light| 0.67| 0.43| 0.48| 0.22|
| other vehicle| 0.152| 0.0483| 0.0382| 0.0116|

- Yolov8s-ca

Parameters: 11.204M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.654| 0.515| 0.557| 0.345|
| person| 0.852| 0.665| 0.788| 0.472|
| bike| 0.642| 0.518| 0.528| 0.32|
| car| 0.869| 0.791| 0.87| 0.631|
| motor| 0.86| 0.636| 0.723| 0.394|
| bus| 0.731| 0.531| 0.671| 0.472|
| truck| 0.382| 0.444| 0.255| 0.173|
| light| 0.767| 0.478| 0.568| 0.271|
| other vehicle| 0.131| 0.0601| 0.0512| 0.0233|

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