GitHub - IPMD2025/IPMD: Cloth-changing Re-identification

#Isolation-based Prompt Tuning and Multi-granularity Feature Decoupling for Clothing-changing Person Re-identification

PAR-PETA_1220_0.5. txt "is a prediction of pedestrian attribute labels on the LTCC dataset using an AAPAR model pre trained on PETA

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
__pycache__		__pycache__
clipS		clipS
data_process		data_process
dataset		dataset
evaluate		evaluate
losses		losses
model		model
scheduler		scheduler
utils		utils
PAR_PETA_1220_0.5(ltcc).zip		PAR_PETA_1220_0.5(ltcc).zip
PAR_PETA_1220_0.5.zip		PAR_PETA_1220_0.5.zip
PRCC-PAR_PETA_1220_0.5.zip		PRCC-PAR_PETA_1220_0.5.zip
README.md		README.md
Self-Correction-Human-Parsing-master.zip		Self-Correction-Human-Parsing-master.zip
main.py		main.py
main_adv.py		main_adv.py
main_cloth-head.py		main_cloth-head.py
main_nomaskclo.py		main_nomaskclo.py
reidtools.py		reidtools.py
script.sh		script.sh
test.py		test.py
test_cc.py		test_cc.py
train_fire-clothhead.py		train_fire-clothhead.py
train_fire.py		train_fire.py
train_fire_2loss.py		train_fire_2loss.py
train_fire_adv.py		train_fire_adv.py
train_fire_nomaskclo.py		train_fire_nomaskclo.py
train_fire_save1216.py		train_fire_save1216.py
vis-tsn.py		vis-tsn.py

Provide feedback