8 citations · 8 across the 3 of their papers we have counts for
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cs.CV2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Dongseob Kim, Hyunjung Shim
Multi-label classification is crucial for comprehensive image understanding, yet acquiring accurate annotations is challenging and costly. To address this, a recent study suggests…
cs.CV2024
Weakly Supervised Semantic Segmentation for Driving Scenes
Dongseob Kim, Seungho Lee, Junsuk Choe +1
State-of-the-art techniques in weakly-supervised semantic segmentation (WSSS) using image-level labels exhibit severe performance degradation on driving scene datasets such as City…
cs.CV2022★ 8 cited
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
Minhyun Lee, Dongseob Kim, Hyunjung Shim
Weakly-supervised semantic segmentation (WSSS) has recently gained much attention for its promise to train segmentation models only with image-level labels. Existing WSSS methods c…