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mill413 committed Apr 9, 2024
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---
layout: post
title: Day48 - Backbone中C3/C2f后添加一层SEAttention在FLIR上的表现
date: 2024-04-08 14:59 +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SE,在VisDrone上训练200epochs

- Yolov5n-se

Parameters: 2.666M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.587| 0.438| 0.483| 0.29|
| person| 0.831| 0.608| 0.741| 0.415|
| bike| 0.495| 0.447| 0.415| 0.258|
| car| 0.836| 0.744| 0.83| 0.585|
| motor| 0.749| 0.582| 0.653| 0.35|
| bus| 0.796| 0.419| 0.578| 0.396|
| truck| 0.222| 0.299| 0.146| 0.0889|
| light| 0.717| 0.392| 0.481| 0.219|
| other vehicle| 0.0461| 0.0159| 0.0212| 0.00766|

- Yolov5s-se

Parameters: 9.197M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.65| 0.497| 0.537| 0.331|
| person| 0.858| 0.654| 0.784| 0.463|
| bike| 0.567| 0.512| 0.517| 0.318|
| car| 0.874| 0.774| 0.865| 0.624|
| motor| 0.86| 0.582| 0.672| 0.362|
| bus| 0.784| 0.527| 0.654| 0.466|
| truck| 0.354| 0.413| 0.209| 0.138|
| light| 0.79| 0.464| 0.566| 0.269|
| other vehicle| 0.11| 0.0476| 0.0278| 0.00848|

- Yolov5m-se

Parameters: 25.209M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.67| 0.521| 0.574| 0.364|
| person| 0.893| 0.666| 0.811| 0.497|
| bike| 0.644| 0.565| 0.55| 0.355|
| car| 0.9| 0.781| 0.882| 0.65|
| motor| 0.757| 0.655| 0.711| 0.394|
| bus| 0.826| 0.478| 0.664| 0.485|
| truck| 0.371| 0.478| 0.291| 0.194|
| light| 0.825| 0.499| 0.623| 0.304|
| other vehicle| 0.142| 0.0476| 0.0617| 0.0322|

- Yolov8n-se

Parameters: 3.168M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.619| 0.449| 0.488| 0.292|
| person| 0.83| 0.61| 0.744| 0.42|
| bike| 0.479| 0.435| 0.399| 0.24|
| car| 0.848| 0.752| 0.843| 0.598|
| motor| 0.83| 0.582| 0.632| 0.319|
| bus| 0.835| 0.441| 0.62| 0.432|
| truck| 0.256| 0.321| 0.169| 0.101|
| light| 0.715| 0.389| 0.467| 0.211|
| other vehicle| 0.158| 0.0635| 0.0297| 0.0154|

- Yolov8s-se

Parameters: 11.210M

| Class| Precision| Recall| mAP50| mAP50-95|
| ---:| ---:| ---:| ---:| ---:|
| all| 0.624| 0.505| 0.544| 0.338|
| person| 0.846| 0.675| 0.792| 0.471|
| bike| 0.543| 0.541| 0.514| 0.328|
| car| 0.87| 0.785| 0.87| 0.635|
| motor| 0.736| 0.6| 0.678| 0.385|
| bus| 0.786| 0.513| 0.667| 0.465|
| truck| 0.268| 0.348| 0.202| 0.136|
| light| 0.767| 0.479| 0.56| 0.26|
| other vehicle| 0.175| 0.0952| 0.0683| 0.0237|

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