Cover Image

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahman, Md Mostafijur, Munir, Mustafa, Jha, Debesh, Bagci, Ulas, Marculescu, Radu
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2024)

MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2025)

LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2025)

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone
by: Munir, Mustafa, et al.
Published: (2024)

TransRUPNet for Improved Polyp Segmentation
by: Jha, Debesh, et al.
Published: (2023)

AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
by: Munir, Mustafa, et al.
Published: (2025)

GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
by: Munir, Mustafa, et al.
Published: (2024)

Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation
by: Tomar, Nikhil Kumar, et al.
Published: (2024)

PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing
by: Munir, Mustafa, et al.
Published: (2025)

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
by: Dutta, Tapas Kumar, et al.
Published: (2024)

From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
by: Agnihotri, Shivanshu, et al.
Published: (2025)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
by: Gorade, Vandan, et al.
Published: (2024)

PRS-Med: Position Reasoning Segmentation in Medical Imaging
by: Trinh, Quoc-Huy, et al.
Published: (2025)

Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation
by: Gorade, Vandan, et al.
Published: (2023)

Improved Segmentation of Polyps and Visual Explainability Analysis
by: Asare, Akwasi, et al.
Published: (2025)

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
by: Sharma, Vanshali, et al.
Published: (2025)

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
by: Zhang, Zheyuan, et al.
Published: (2023)

Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior
by: Mahmud, Tanvir, et al.
Published: (2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
by: Jha, Debesh, et al.
Published: (2024)

Scaling Graph Convolutions for Mobile Vision
by: Avery, William, et al.
Published: (2024)

Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models
by: Yang, Yuedong, et al.
Published: (2026)

SAM Meets UAP: Attacking Segment Anything Model With Universal Adversarial Perturbation
by: Han, Dongshen, et al.
Published: (2023)

SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
by: Xiong, Xinyu, et al.
Published: (2025)

Progressively Normalized Self-Attention Network for Video Polyp Segmentation
by: Ji, Ge-Peng, et al.
Published: (2021)

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation
by: Dutta, Tapas K., et al.
Published: (2025)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation
by: Munir, Mustafa, et al.
Published: (2025)

Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
by: Munir, Mustafa, et al.
Published: (2025)

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?
by: Srivastava, Abhishek, et al.
Published: (2025)

ASPS: Augmented Segment Anything Model for Polyp Segmentation
by: Li, Huiqian, et al.
Published: (2024)

EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
by: Song, Joonhyeon, et al.
Published: (2024)

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs
by: Gorade, Vandan, et al.
Published: (2024)

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
by: Xiao, Aoran, et al.
Published: (2024)

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
by: Lee, Sohyun, et al.
Published: (2025)

DeiSAM: Segment Anything with Deictic Prompting
by: Shindo, Hikaru, et al.
Published: (2024)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
by: Ye, Maoyuan, et al.
Published: (2024)

Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
by: Subedi, Aliza, et al.
Published: (2024)

AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
by: Li, Yuchen, et al.
Published: (2024)

Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts
by: Xie, Enze, et al.
Published: (2024)