---
# System prepended metadata

title: IHC paper
tags: [IHC_paper]

---

# IHC paper
###### tags: `IHC_paper`

# Model dataset
- veri776,veri776_synreal,veriwild,veriwild_synreal
![](https://i.imgur.com/AmoVbyK.png)
- on TWCC
    - 在國網 VeRi_syn 的 image_test_hazy 是 image_test_b0b5
    - hazy: b0b5, synreal: b0~b2 (random), syn: b0-b3

# 我分的haze datset



# My question
- how to compare
    - train on veri_synreal
    - train on wild_synreal
    - train on wild_clear
# ImageNet
http://www.image-net.org/download-images
# Things have not run yet
- run b
# Code have not run yet
- RAM VEHICLE RE-IDENTIFICATION
    - paper:https://arxiv.org/pdf/1806.09283.pdf
    - code : https://arxiv.org/pdf/1806.09283.pdf
- VOC-ReID
    - paper: https://arxiv.org/pdf/2004.09164.pdf
    - code:https://github.com/Xiangyu-CAS/AICity2020-VOC-ReID
- Baidu-UTS
    - paper:
    - code : https://github.com/layumi/AICIty-reID-2020
# syn veri_wild dataset
    - depth : /mnt/190/a/Cihsiang/ReID/Dataset/VERI_WILD_hazehelp/images_all_depth_outdoor/
- folder name :veriwild_syn_real
- make haze(syn) code:
    - /mnt/190/a/Cihsiang/ReID/1.Make_Depth/VeRi_Syn_hazy/dense_haze_OTS_veri_train_synreal.m"

# Code have not run
- DMT
    - reuslt path:/work/r09921058/ReID_dehazeREID/ReID_inference/Inference_veri_synreal/

# Hackmd



# old data pretrain on b0_epoch80
- x
    * DMT Train on veri_syn_b0
        - TEST_SYN_b0:
            | map  | cmc1 | cmc5 | cmc10 |
            |:---- |:---- |:---- |:----- |
            | 81.1 | 96.6 | 98.6 | 99.2  |
        - TEST_SYN_b1:
            | map  | cmc1 | cmc5 | cmc10 |
            |:---- |:---- |:---- |:----- |
            | 69.6 | 92   | 97   | 98.4  |
        - TEST_SYN_b2:
            | map  | cmc1 | cmc5  | cmc10 |
            |:---- |:---- |:----- |:----- |
            | 59.7 | 88.5 | 94.30 | 96.5  |
        - TEST_SYN_b3:
            | map  | cmc1 | cmc5 | cmc10 |
            | ---- |:---- |:---- |:----- |
            | 50.5 | 84.3 | 91.5 | 94.8  |
    * DMT Train on veri_syn_b1
        - TEST_SYN_b1:
            | map  | cmc1 | cmc5 | cmc10 |
            | ---- |:---- | ---- |:----- |
            | 78.5 | 96.1 | 98.5 | 99.2  |
     * DMT Train on veri_syn_b2
        - TEST_SYN_b2:
            | map  | cmc1 | cmc5 | cmc10 |
            | ---- |:---- | ---- |:----- |
            | 76.4 | 95.5 | 97.9 | 98.8  |
    * DMT Train  on veri_syn_b3
        - TEST_SYN_b3:
            | map | cmc1 | cmc5 | cmc10 |
            | --- |:---- |:---- |:----- |
            | 73  | 94.7 | 97.6 | 98.7  |   
    * DMT Train  on veri_syn_b4
        - TEST_SYN_b3:
            | map | cmc1 | cmc5 | cmc10 |
            | --- |:---- |:---- |:----- |
            | 73  | 94.7 | 97.6 | 98.7  |
    * DMT Train  on veri_syn_b5
        - TEST_SYN_b3:
            | map | cmc1 | cmc5 | cmc10 |
            | --- |:---- |:---- |:----- |
            | 73  | 94.7 | 97.6 | 98.7  |


# Paper survey
## Aicity 2019
- https://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/Naphade_The_2019_AI_City_Challenge_CVPRW_2019_paper.pdf
## Aicity 2020
- ![](https://i.imgur.com/kU2Ke8D.png)

* Multi-Domain Learning and Identity Mining for Vehicle Re-Identification(CVPR 2020 Workshop)
    * ![](https://i.imgur.com/G1hc3Fi.png)
    * resNet pretrain 80
    * 100 epoches   
    * inb_a :https://github.com/XingangPan/IBN-Net


## multi task or part mask
-(no code) https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Part-Regularized_Near-Duplicate_Vehicle_Re-Identification_CVPR_2019_paper.pdf

# RBSM
- 要改./configs (add .yml)
                                
        - sh train_veh1m_wild.sh

# How to compare 
- loss
- SOTA method

# MSBDN result
- image_query_syn
    - ===> Avg. SR SSIM: 0.9281
    - Avg. SR PSNR:23.537345 dB
- image_query_synreal
    - ===> Avg. SR SSIM: 0.9115
    - Avg. SR PSNR:22.640361 dB

