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eess.IV2024
FIPER: Factorized Features for Robust Image Super-Resolution and Compression
Yang-Che Sun, Cheng Yu Yeo, Ernie Chu +2
In this work, we propose using a unified representation, termed Factorized Features, for low-level vision tasks, where we test on Single Image Super-Resolution (SISR) and \textbf{I…
cs.CV2024
A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting
Tsung-Han Chou, Brian Wang, Wei-Chen Chiu +1
Class agnostic counting (CAC) is a vision task that can be used to count the total occurrence number of any given reference objects in the query image. The task is usually formulat…