fjmxyMRMCby9OE2f4o5pYob6iEnQDQ41gUqAMPZUacWGxVIeeuGIcarPJZ7K
Current position: Home >> Scientific Research >> Paper Publications

Size-Invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection

Hits:

Institution:控制科学与工程学院

Title of Paper:Size-Invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection

Journal:41st International Conference on Machine Learning, ICML 2024

First Author:Li, Feiran

Document Code:1843560876862443522

Volume:235

Page Number:28989-29021

Number of Words:100

Translation or Not:No

Date of Publication:2024-01

Release Time:2025-05-26

Prev One:SRNSD: Structure-Regularized Night-Time Self-Supervised Monocular Depth Estimation for Outdoor Scenes

Next One:High-Precision Dichotomous Image Segmentation With Frequency and Scale Awareness