ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.08891
  4. Cited By
AdapterShadow: Adapting Segment Anything Model for Shadow Detection

AdapterShadow: Adapting Segment Anything Model for Shadow Detection

15 November 2023
Lei Jie
Hui Zhang
    VLM
ArXivPDFHTML

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

14 / 14 papers shown
Title
When SAM Meets Shadow Detection
When SAM Meets Shadow Detection
Lei Jie
Hui Zhang
VLM
35
14
0
19 May 2023
When SAM Meets Medical Images: An Investigation of Segment Anything
  Model (SAM) on Multi-phase Liver Tumor Segmentation
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
Chuanfei Hu
Tianyi Xia
Shenghong Ju
Xinde Li
MedIm
VLM
46
75
0
17 Apr 2023
Learning Shadow Correspondence for Video Shadow Detection
Learning Shadow Correspondence for Video Shadow Detection
Xinpeng Ding
J. Yang
Xiao Hu
Xuelong Li
46
14
0
30 Jul 2022
Instance Shadow Detection with A Single-Stage Detector
Instance Shadow Detection with A Single-Stage Detector
Tianyu Wang
Xiaowei Hu
Pheng-Ann Heng
Chi-Wing Fu
42
28
0
11 Jul 2022
Video Shadow Detection via Spatio-Temporal Interpolation Consistency
  Training
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
Xiao Lu
Yihong Cao
Sheng Liu
Chengjiang Long
Zipei Chen
Xuanyu Zhou
Yimin Yang
Chunxia Xiao
64
19
0
17 Jun 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
446
7,731
0
11 Nov 2021
Learning from Synthetic Shadows for Shadow Detection and Removal
Learning from Synthetic Shadows for Shadow Detection and Removal
Naoto Inoue
T. Yamasaki
63
63
0
05 Jan 2021
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
129
848
0
01 May 2020
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Xiaowei Hu
Tianyu Wang
Chi-Wing Fu
Yitong Jiang
Qiong Wang
Pheng-Ann Heng
124
79
0
16 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
135
18,106
0
28 May 2019
Direction-aware Spatial Context Features for Shadow Detection
Direction-aware Spatial Context Features for Shadow Detection
Xiaowei Hu
Lei Zhu
Chi-Wing Fu
J. Qin
Pheng-Ann Heng
49
187
0
12 Dec 2017
Stacked Conditional Generative Adversarial Networks for Jointly Learning
  Shadow Detection and Shadow Removal
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
Jifeng Wang
Xiang Li
Le Hui
Jian Yang
GAN
72
403
0
07 Dec 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
506
10,318
0
16 Nov 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
399
10,481
0
21 Jul 2016
1