Multi-scale feature interaction pseudo-label unsupervised domain adaptation for person re-identification

Method	Duke-to-Market			Market-to-Duke			Market-to-MSMT
Method	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5
“—”代表结果未显示
SECRET^[5]	79.8	92.3	—	67.1	80.3	—	24.3	49.9	—
FSA	81.1	92.8	96.5	68.3	83.5	89.4	24.5	51.8	63.8
PCBN	80.7	92.5	97.4	67.1	80.6	88.7	24.3	50.9	63.5
ReFIM	80.0	92.9	97.2	67.2	80.4	89.2	24.6	51.7	63.9
FSA+PCBN	81.2	92.4	97.1	66.0	80.4	89.2	24.7	51.9	64.1
FSA+ReFIM	81.3	92.8	97.4	64.1	79.0	88.2	25.3	52.3	64.7
PCBN+ReFIM	82.7	93.0	98.0	67.6	80.7	88.2	24.5	52.5	64.3
FSA +PCBN+ReFIM	82.9	93.7	97.4	68.7	82.7	89.8	26.6	54.7	67.5

Table 2. Experiments results of the CDC and FIM ablation in the ReFIM module (Unit: %)

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Table 2. Experiments results of the CDC and FIM ablation in the ReFIM module (Unit: %)

Method	Duke-to-Market			Market-to-Duke			Market-to-MSMT
Method	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5
“—”代表结果未显示
SECRET^[5]	79.8	92.3	—	67.1	80.3	—	24.3	49.9	—
CDC	79.8	92.5	96.9	65.4	79.7	88.8	24.4	50.9	64.1
FIM	79.8	91.8	97.1	66.1	80.1	89.5	24.3	51.4	63.7
ReFIM	80.0	92.9	97.2	67.2	80.4	89.2	24.6	51.7	63.9

Table 3. Partial convolution efficiency ablation experiments of the PCBN module
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Table 3. Partial convolution efficiency ablation experiments of the PCBN module
Method Evaluation metrics
Params/M FLOPs/G Latency/ms
Bottleneck (SECRET)^[5] 0.5 2.2 23
Conv1_spling 0.5 2.0 20
Conv2_spling 0.4 1.7 17
Conv3_spling 0.3 1.5 12

Table 4. Efficiency ablation experiment results of the FSA (Unit: %)

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Table 4. Efficiency ablation experiment results of the FSA (Unit: %)

Method	Duke-to-Market			Market-to-Duke			Market-to-MSMT
Method	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5
“—”代表结果未显示
SECRET^[5]	79.8	92.3	—	67.1	80.3	—	24.3	49.9	—
SE	80.0	92.3	96.3	62.4	81.8	87.0	23.3	48.3	62.5
CBAM	79.8	92.6	96.4	65.3	82.2	88.1	24.4	51.2	63.3
CA	67.7	87.0	95.3	63.2	80.5	86.4	22.5	50.6	62.9
FSA	81.1	92.8	96.5	68.3	83.5	89.4	24.5	51.8	63.8

Table 5. Experimental results of different parts in the FSA module
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Table 5. Experimental results of different parts in the FSA module
Method Evaluation metrics
Horizontal squeeze Vertical squeeze Detail enhancement Params/M FLOPs/G Latency/ms
√ √ 1.3 1.6 43
√ √ 1.2 1.5 44
√ 1.4 1.8 47
√ √ √ 1.1 1.3 39

Table 6. Performance comparison among different models on mainstream datasets (Unit: %)

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Table 6. Performance comparison among different models on mainstream datasets (Unit: %)

Models	Duke-to-Market			Market-to-Duke			Market-to-MSMT
Models	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5	mAP	Rank-1	Rank-5
“—”代表结果未显示
HHL^[30]	31.4	62.2	78.8	27.2	46.9	61.0	—	—	—
ECN^[31]	43.0	75.1	87.6	40.4	63.3	75.8	10.2	15.2	40.4
UDL^[32]	44.7	76.8	88.9	41.3	64.9	77.0	—	—	—
PDA-Net^[32-33]	47.6	75.2	86.3	45.1	63.2	77.0	—	—	—
PCB-PAST^[34]	54.6	78.4	—	54.3	72.4	—	—	—	—
SSG^[3]	58.3	80.0	90.0	53.4	73.0	80.6	13.2	31.6	—
MMCL^[35]	60.4	84.4	92.8	51.4	72.4	82.9	15.1	40.8	—
SNR^[36]	61.7	82.8	—	58.1	76.3	—	—	—	—
ECN++^[37]	63.8	84.1	92.8	54.4	74.0	83.7	15.2	40.4
AD-Cluster^[38]	68.3	86.7	94.4	54.1	72.6	82.5	—	—	—
MMT^[4]	71.2	87.7	94.9	65.1	78.0	88.8	22.9	49.2	63.1
MEB-NET^[39]	76.0	89.9	96.0	66.1	79.6	88.3	—	—	—
GCL+ (JVTC+)^[40]	76.5	91.6	96.3	68.3	82.6	89.4	27.1	53.8	66.9
UNRN^[41]	78.1	91.9	96.1	69.1	82.0	90.7	25.3	52.4	64.7
SECRET^[5] (baseline)	79.8	92.3	—	67.1	80.3	—	24.3	49.9	—
HQP^[42]	80.3	92.3	96.9	68.0	82.6	90.2	23.6	49.8	62.4
DHCL^[43]	81.5	92.8	97.2	67.3	81.1	89.3	—	—	—
MSFINet (ours)	82.9	93.7	97.4	68.7	82.7	89.8	26.6	54.7	67.5

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Zhongmin Liu, Fujun Yang, Wenjin Hu. Multi-scale feature interaction pseudo-label unsupervised domain adaptation for person re-identification[J]. Opto-Electronic Engineering, 2025, 52(1): 240238

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Paper Information

Category: Article

Received: Oct. 11, 2024

Accepted: Dec. 18, 2024

Published Online: Feb. 21, 2025

The Author Email: Liu Zhongmin (刘仲民)

DOI:10.12086/oee.2025.240238

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Ablation experimental results of FSA，PCBN, and ReFIM on mainstream datasets (Unit: %)

Table 1. Ablation experimental results of FSA，PCBN, and ReFIM on mainstream datasets (Unit: %)

Table 2. Experiments results of the CDC and FIM ablation in the ReFIM module (Unit: %)

Table 2. Experiments results of the CDC and FIM ablation in the ReFIM module (Unit: %)

Table 3. Partial convolution efficiency ablation experiments of the PCBN module

Table 3. Partial convolution efficiency ablation experiments of the PCBN module

Table 4. Efficiency ablation experiment results of the FSA (Unit: %)

Table 4. Efficiency ablation experiment results of the FSA (Unit: %)

Table 5. Experimental results of different parts in the FSA module

Table 5. Experimental results of different parts in the FSA module

Table 6. Performance comparison among different models on mainstream datasets (Unit: %)

Table 6. Performance comparison among different models on mainstream datasets (Unit: %)

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