[ICCV'25 Highlight] HccePose (BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
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Updated
Oct 27, 2025 - Python
[ICCV'25 Highlight] HccePose (BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.
Framework to collect dataset in COCO format for images/videos using pretrained neural networks
A python wrapper library for various datasets.
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