We have hosted the application tiny in order to run this application in our online workstations with Wine or directly.


Quick description about tiny:

This repository implements the Tiny Face Detector (from Hu & Ramanan, CVPR 2017) in MATLAB (using MatConvNet). The method is designed to detect tiny faces (i.e. very small-scale faces) by combining multi-scale context modeling, foveal descriptors, and scale enumeration strategies. It provides training/testing scripts, a demo (tiny_face_detector.m), model loading, evaluation on WIDER FACE, and supporting utilities (e.g. cnn_widerface_eval.m). The code depends on MatConvNet, which must be compiled (with GPU / CUDA / cuDNN support) for full performance. Pretrained model provided (ResNet101-based, plus alternatives). Demo and evaluation scripts for benchmark datasets. Use of �foveal descriptors� to incorporate context for low-resolution faces. Pretrained model provided (ResNet101-based, plus alternatives).

Features:
  • Detection of very small faces (tiny scale)
  • Multi-scale enumeration strategy (e.g. scaling input, interpolations)
  • Use of �foveal descriptors� to incorporate context for low-resolution faces
  • Pretrained model provided (ResNet101-based, plus alternatives)
  • Demo and evaluation scripts for benchmark datasets
  • Integration with MatConvNet, with GPU / MEX support


Programming Language: MATLAB.
Categories:
Computer Vision Libraries

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