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20202026
most citedPoint Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

27 citations · 32 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Human-in-the-Loop Segmentation of Multi-species Coral Imagery

Scarlett Raine, Ross Marchant, Brano Kusy +3

Marine surveys by robotic underwater and surface vehicles result in substantial quantities of coral reef imagery, however labeling these images is expensive and time-consuming for…

cs.CV2023★ 2 cited

Understanding the Effects of Projectors in Knowledge Distillation

Yudong Chen, Sen Wang, Jiajun Liu +4

Conventionally, during the knowledge distillation process (e.g. feature distillation), an additional projector is often required to perform feature transformation due to the dimens…

cs.CV2023★ 3 cited

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection

Bingqing Zhang, Sen Wang, Yifan Liu +3

Current video object detection (VOD) models often encounter issues with over-aggregation due to redundant aggregation strategies, which perform feature aggregation on every frame.…

cs.CV2022★ 27 cited

Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

Scarlett Raine, Ross Marchant, Brano Kusy +2

Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images…

cs.CV2021

DeepSeagrass Dataset

Scarlett Raine, Ross Marchant, Peyman Moghadam +3

We introduce a dataset of seagrass images collected by a biologist snorkelling in Moreton Bay, Queensland, Australia, as described in our publication: arXiv:2009.09924. The images…

cs.CV2020

Multi-species Seagrass Detection and Classification from Underwater Images

Scarlett Raine, Ross Marchant, Peyman Moghadam +3

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecologi…