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Depth-Jitter
Depth-Jitter PublicDepth Jitter is a depth-aware augmentation technique designed to improve underwater object classification by simulating realistic depth variations. It integrates with Query2Label for multi-label cl…
Python 3
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PAM_data_sampling
PAM_data_sampling PublicScripts and data supporting the paper "Data-driven Sampling Strategies for Fine-Tuning Bird Detection Models"
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- PAM_data_sampling Public
Scripts and data supporting the paper "Data-driven Sampling Strategies for Fine-Tuning Bird Detection Models"
mim-team/PAM_data_sampling’s past year of commit activity - bioacoustic_F0_estimation Public
mim-team/bioacoustic_F0_estimation’s past year of commit activity - Depth-Jitter Public
Depth Jitter is a depth-aware augmentation technique designed to improve underwater object classification by simulating realistic depth variations. It integrates with Query2Label for multi-label classification, enhancing model robustness against depth-dependent color distortions in underwater imagery.
mim-team/Depth-Jitter’s past year of commit activity
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