Indiscernible Object Counting in Underwater Scenes
Studies counting hard-to-distinguish objects in underwater scenes and introduces the IOCfish5K dataset.
Overview
Studies counting hard-to-distinguish objects in underwater scenes and introduces the IOCfish5K dataset.
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.
Studies counting hard-to-distinguish objects in underwater scenes and introduces the IOCfish5K dataset.
Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.
References
ID: cvpr-2023-indiscernible-object-counting · Last verified:
