5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2026
On Pitfalls of : Data Processing Inequality Perspective
Junhwa Song, Keumgang Cha, Junghoon Seo
The RemOve-And-Retrain (ROAR) benchmark is widely used to evaluate feature attribution methods, yet its validity remains underexplored from an information-theoretic perspective. We…
cs.CV2026★ 5 cited
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer
Hakjin Lee, MinKi Song, Jamyoung Koo +1
Detection Transformers (DETR) have recently set new benchmarks in object detection. However, their performance in detecting rotated objects lags behind established oriented object…