mlsanityData to 7 Oct 2026

Face Detection: Present State and Research Directions

arXiv 2402.03796 ↗First posted 6 Feb 2024cs.CV cs.AI cs.LGcited by 0

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Abstract (arXiv)

The majority of computer vision applications that handle images featuring humans use face detection as a core component. Face detection still has issues, despite much research on the topic. Face detection's accuracy and speed might yet be increased. This review paper shows the progress made in this area as well as the substantial issues that still need to be tackled. The paper provides research directions that can be taken up as research projects in the field of face detection.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 15 references that are in the map. First posted on arXiv 6 Feb 2024.

Builds on

3 of 15 references.

References · 3

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  3. 2016Face Detection with the Faster R-CNNcited by 34

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