Skip to content

Indiscernible Object Counting in Underwater Scenes

EyeCode Pick · editorial selectionObject counting

Studies counting hard-to-distinguish objects in underwater scenes and introduces the IOCfish5K dataset.

Explanation level

Overview

Studies counting hard-to-distinguish objects in underwater scenes and introduces the IOCfish5K dataset.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

References

  1. Bibliographic source

ID: cvpr-2023-indiscernible-object-counting · Last verified:

Reading notes (.md, English) ↓