Saved in:
| Main Authors: | Asghari, Fatemeh, Soheili, Mohammad Reza, Gholamrezaie, Faezeh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.04891 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Segment Anything without Supervision
by: Wang, XuDong, et al.
Published: (2024)
by: Wang, XuDong, et al.
Published: (2024)
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
by: Liang, Junhui, et al.
Published: (2023)
by: Liang, Junhui, et al.
Published: (2023)
Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
by: Djilani, Mohamed, et al.
Published: (2025)
by: Djilani, Mohamed, et al.
Published: (2025)
Segment Anything Model is a Good Teacher for Local Feature Learning
by: Wu, Jingqian, et al.
Published: (2023)
by: Wu, Jingqian, et al.
Published: (2023)
Red-Teaming Segment Anything Model
by: Jankowski, Krzysztof, et al.
Published: (2024)
by: Jankowski, Krzysztof, et al.
Published: (2024)
SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
by: Roddan, Alfie, et al.
Published: (2025)
by: Roddan, Alfie, et al.
Published: (2025)
Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images
by: Liu, Qingyuan, et al.
Published: (2024)
by: Liu, Qingyuan, et al.
Published: (2024)
PTQ4SAM: Post-Training Quantization for Segment Anything
by: Lv, Chengtao, et al.
Published: (2024)
by: Lv, Chengtao, et al.
Published: (2024)
Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
by: Gelato, Riccardo, et al.
Published: (2026)
by: Gelato, Riccardo, et al.
Published: (2026)
SAM 2: Segment Anything in Images and Videos
by: Ravi, Nikhila, et al.
Published: (2024)
by: Ravi, Nikhila, et al.
Published: (2024)
DeiSAM: Segment Anything with Deictic Prompting
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
Segment Anything Model for Medical Images?
by: Huang, Yuhao, et al.
Published: (2023)
by: Huang, Yuhao, et al.
Published: (2023)
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
by: Li, Yuchen, et al.
Published: (2024)
by: Li, Yuchen, et al.
Published: (2024)
SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2
by: Adamyan, Alen, et al.
Published: (2025)
by: Adamyan, Alen, et al.
Published: (2025)
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
by: Huang, Tianyu, et al.
Published: (2024)
by: Huang, Tianyu, et al.
Published: (2024)
Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning
by: Albzour, Nisreen, et al.
Published: (2025)
by: Albzour, Nisreen, et al.
Published: (2025)
Testing the Segment Anything Model on radiology data
by: de Almeida, José Guilherme, et al.
Published: (2023)
by: de Almeida, José Guilherme, et al.
Published: (2023)
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
by: Shu, Yuan-Chen, et al.
Published: (2025)
by: Shu, Yuan-Chen, et al.
Published: (2025)
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
by: Nguyen, Duy M. H., et al.
Published: (2026)
by: Nguyen, Duy M. H., et al.
Published: (2026)
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
by: Zhong, Zihan, et al.
Published: (2024)
by: Zhong, Zihan, et al.
Published: (2024)
Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM)
by: Zeng, Qi, et al.
Published: (2026)
by: Zeng, Qi, et al.
Published: (2026)
Segment Anything Model for Grain Characterization in Hard Drive Design
by: Nichols, Kai, et al.
Published: (2024)
by: Nichols, Kai, et al.
Published: (2024)
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis
by: Zhou, Xiren, et al.
Published: (2025)
by: Zhou, Xiren, et al.
Published: (2025)
UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
by: Yu, Junwei, et al.
Published: (2025)
by: Yu, Junwei, et al.
Published: (2025)
A Systematic Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation
by: Kamal, Minhas, et al.
Published: (2026)
by: Kamal, Minhas, et al.
Published: (2026)
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model
by: Li, Zongshuo, et al.
Published: (2024)
by: Li, Zongshuo, et al.
Published: (2024)
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
by: Su, Encheng, et al.
Published: (2025)
by: Su, Encheng, et al.
Published: (2025)
From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation
by: Eisenberg, Ran, et al.
Published: (2025)
by: Eisenberg, Ran, et al.
Published: (2025)
Deep Image Segmentation via Discriminant Feature Learning
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
Composition Vision-Language Understanding via Segment and Depth Anything Model
by: Huo, Mingxiao, et al.
Published: (2024)
by: Huo, Mingxiao, et al.
Published: (2024)
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
by: Mumuni, Fuseini, et al.
Published: (2024)
by: Mumuni, Fuseini, et al.
Published: (2024)
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation
by: Peng, Shiqi, et al.
Published: (2024)
by: Peng, Shiqi, et al.
Published: (2024)
Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
by: Das, Sayan, et al.
Published: (2025)
by: Das, Sayan, et al.
Published: (2025)
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
by: Biswas, Koushik, et al.
Published: (2024)
by: Biswas, Koushik, et al.
Published: (2024)
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
by: Reza, Md Kaykobad, et al.
Published: (2023)
by: Reza, Md Kaykobad, et al.
Published: (2023)
Automated Mosaic Tesserae Segmentation via Deep Learning Techniques
by: Kapelonis, Charilaos, et al.
Published: (2025)
by: Kapelonis, Charilaos, et al.
Published: (2025)
Pediatric Pancreas Segmentation from MRI Scans with Deep Learning
by: Keles, Elif, et al.
Published: (2025)
by: Keles, Elif, et al.
Published: (2025)
Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
by: Sufyan, Osamah, et al.
Published: (2026)
by: Sufyan, Osamah, et al.
Published: (2026)
EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss
by: Zhang, Zhuoyang, et al.
Published: (2024)
by: Zhang, Zhuoyang, et al.
Published: (2024)
Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification
by: Bramantyo, Hutama Arif, et al.
Published: (2026)
by: Bramantyo, Hutama Arif, et al.
Published: (2026)
Similar Items
-
Segment Anything without Supervision
by: Wang, XuDong, et al.
Published: (2024) -
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
by: Liang, Junhui, et al.
Published: (2023) -
Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
by: Djilani, Mohamed, et al.
Published: (2025) -
Segment Anything Model is a Good Teacher for Local Feature Learning
by: Wu, Jingqian, et al.
Published: (2023) -
Red-Teaming Segment Anything Model
by: Jankowski, Krzysztof, et al.
Published: (2024)