Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping

C He, K Li, Y Zhang, G Xu, L Tang… - Advances in …, 2024 - proceedings.neurips.cc
Abstract Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment
objects well blended with surrounding environments using sparsely-annotated data for …

[PDF][PDF] Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

C He, K Li, Y Zhang, G Xu, L Tang… - arXiv preprint arXiv …, 2023 - researchgate.net
Abstract Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment
objects well blended with surrounding environments using sparsely-annotated data for …

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

C He, K Li, Y Zhang, G Xu, L Tang, Y Zhang… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Abstract Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment
objects well blended with surrounding environments using sparsely-annotated data for …

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

C He, K Li, Y Zhang, G Xu, L Tang, Y Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment objects
well blended with surrounding environments using sparsely-annotated data for model …

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

C He, K Li, Y Zhang, G Xu, L Tang, Y Zhang… - … -seventh Conference on … - openreview.net
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment objects
well blended with surrounding environments using sparsely-annotated data for model …

Weakly-supervised concealed object segmentation with SAM-based pseudo labeling and multi-scale feature grouping

C He, K Li, Y Zhang, G Xu, L Tang, Y Zhang… - Proceedings of the 37th …, 2023 - dl.acm.org
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment objects
well blended with surrounding environments using sparsely-annotated data for model …