Saved in:
| Main Authors: | Quesada, Jorge, Fowler, Zoe, Alotaibi, Mohammad, Prabhushankar, Mohit, AlRegib, Ghassan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.22048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
by: Chowdhury, Prithwijit, et al.
Published: (2026)
by: Chowdhury, Prithwijit, et al.
Published: (2026)
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
by: Stevens, William, et al.
Published: (2026)
by: Stevens, William, et al.
Published: (2026)
Information Router for Mitigating Modality Dominance in Vision-Language Models
by: Kim, Seulgi, et al.
Published: (2026)
by: Kim, Seulgi, et al.
Published: (2026)
Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures
by: Quesada, Jorge, et al.
Published: (2026)
by: Quesada, Jorge, et al.
Published: (2026)
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
by: Quesada, Jorge, et al.
Published: (2025)
by: Quesada, Jorge, et al.
Published: (2025)
Perceptual Quality-based Model Training under Annotator Label Uncertainty
by: Zhou, Chen, et al.
Published: (2024)
by: Zhou, Chen, et al.
Published: (2024)
Targeting Negative Flips in Active Learning using Validation Sets
by: Benkert, Ryan, et al.
Published: (2024)
by: Benkert, Ryan, et al.
Published: (2024)
Subject Invariant Contrastive Learning for Human Activity Recognition
by: Yarici, Yavuz, et al.
Published: (2025)
by: Yarici, Yavuz, et al.
Published: (2025)
Explaining Representation Learning with Perceptual Components
by: Yarici, Yavuz, et al.
Published: (2024)
by: Yarici, Yavuz, et al.
Published: (2024)
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
by: Kokilepersaud, Kiran, et al.
Published: (2024)
by: Kokilepersaud, Kiran, et al.
Published: (2024)
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis
by: Chowdhury, Prithwijit, et al.
Published: (2024)
by: Chowdhury, Prithwijit, et al.
Published: (2024)
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss
by: Kokilepersaud, Kiran, et al.
Published: (2024)
by: Kokilepersaud, Kiran, et al.
Published: (2024)
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
Multi-level and Multi-modal Action Anticipation
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
Gradient based Severity Labeling for Biomarker Classification in OCT
by: Kokilepersaud, Kiran, et al.
Published: (2026)
by: Kokilepersaud, Kiran, et al.
Published: (2026)
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
by: Yarici, Yavuz, et al.
Published: (2026)
by: Yarici, Yavuz, et al.
Published: (2026)
Hierarchical and Multimodal Data for Daily Activity Understanding
by: Kaviani, Ghazal, et al.
Published: (2025)
by: Kaviani, Ghazal, et al.
Published: (2025)
ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation
by: Mustafa, Ahmad, et al.
Published: (2025)
by: Mustafa, Ahmad, et al.
Published: (2025)
Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets
by: Kaviani, Ghazal, et al.
Published: (2024)
by: Kaviani, Ghazal, et al.
Published: (2024)
TrajPRed: Trajectory Prediction with Region-based Relation Learning
by: Zhou, Chen, et al.
Published: (2024)
by: Zhou, Chen, et al.
Published: (2024)
FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
by: Fowler, Zoe, et al.
Published: (2026)
by: Fowler, Zoe, et al.
Published: (2026)
Transitional Uncertainty with Layered Intermediate Predictions
by: Benkert, Ryan, et al.
Published: (2024)
by: Benkert, Ryan, et al.
Published: (2024)
Intelligent Multi-View Test Time Augmentation
by: Ozturk, Efe, et al.
Published: (2024)
by: Ozturk, Efe, et al.
Published: (2024)
Effective Data Selection for Seismic Interpretation through Disagreement
by: Benkert, Ryan, et al.
Published: (2024)
by: Benkert, Ryan, et al.
Published: (2024)
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
by: Kokilepersaud, Kiran, et al.
Published: (2025)
by: Kokilepersaud, Kiran, et al.
Published: (2025)
A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking
by: Chowdhury, Prithwijit, et al.
Published: (2026)
by: Chowdhury, Prithwijit, et al.
Published: (2026)
Learning to Prompt Segment Anything Models
by: Huang, Jiaxing, et al.
Published: (2024)
by: Huang, Jiaxing, et al.
Published: (2024)
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
by: Huang, Shiqi, et al.
Published: (2025)
by: Huang, Shiqi, et al.
Published: (2025)
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)
Part-aware Prompted Segment Anything Model for Adaptive Segmentation
by: Zhao, Chenhui, et al.
Published: (2024)
by: Zhao, Chenhui, et al.
Published: (2024)
Ophthalmic Biomarker Detection: Highlights from the IEEE Video and Image Processing Cup 2023 Student Competition
by: AlRegib, Ghassan, et al.
Published: (2024)
by: AlRegib, Ghassan, et al.
Published: (2024)
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
by: Wei, Zhikai, et al.
Published: (2024)
by: Wei, Zhikai, et al.
Published: (2024)
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)
by: Rahman, Md Mostafijur, et al.
Published: (2024)
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
by: Miao, Juzheng, et al.
Published: (2024)
by: Miao, Juzheng, et al.
Published: (2024)
SAMAug: Point Prompt Augmentation for Segment Anything Model
by: Dai, Haixing, et al.
Published: (2023)
by: Dai, Haixing, et al.
Published: (2023)
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering
by: Nagendra, Savinay, et al.
Published: (2024)
by: Nagendra, Savinay, et al.
Published: (2024)
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2
by: Rafaeli, Osher, et al.
Published: (2024)
by: Rafaeli, Osher, et al.
Published: (2024)
Similar Items
-
BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
by: Chowdhury, Prithwijit, et al.
Published: (2026) -
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
by: Prabhushankar, Mohit, et al.
Published: (2024) -
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
by: Prabhushankar, Mohit, et al.
Published: (2024) -
RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
by: Stevens, William, et al.
Published: (2026) -
Information Router for Mitigating Modality Dominance in Vision-Language Models
by: Kim, Seulgi, et al.
Published: (2026)