1 code implementation • 15 Dec 2023 • Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim
Recent advancements in Deep Neural Network (DNN) models have significantly improved performance across computer vision tasks.
1 code implementation • CVPR 2022 • Minhyun Lee, Dongseob Kim, Hyunjung Shim
Existing WSSS methods commonly argue that the sparse coverage of CAM incurs the performance bottleneck of WSSS.
Ranked #16 on Weakly-Supervised Semantic Segmentation on COCO 2014 val
Weakly supervised segmentation Weakly supervised Semantic Segmentation +1
1 code implementation • CVPR 2021 • Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim
Existing studies in weakly-supervised semantic segmentation (WSSS) using image-level weak supervision have several limitations: sparse object coverage, inaccurate object boundaries, and co-occurring pixels from non-target objects.
Ranked #21 on Weakly-Supervised Semantic Segmentation on PASCAL VOC 2012 test (using extra training data)