AdapterShadow: Adapting Segment Anything Model for Shadow Detection

15 November 2023

Papers citing "AdapterShadow: Adapting Segment Anything Model for Shadow Detection"

6 / 6 papers shown

Title
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected Dongsheng Han Chaoning Zhang Yu Qiao Maryam Qamar Yuna Jung Seungkyu Lee Sung-Ho Bae Choong Seon Hong VLM 77 36 0 29 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 276 0 26 Apr 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Fine-Context Shadow Detection using Shadow Removal Jeya Maria Jose Valanarasu Vishal M. Patel 32 12 0 20 Sep 2021
Learning from Synthetic Shadows for Shadow Detection and Removal Naoto Inoue T. Yamasaki 37 61 0 05 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016