Cover Image

Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mirza, Samiha, Nguyen, Vuong D., Mantini, Pranav, Shah, Shishir K.
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

Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
by: Nguyen, Vuong D., et al.
Published: (2024)

GeoStack: A Framework for Quasi-Abelian Knowledge Composition in VLMs
by: Mantini, Pranav, et al.
Published: (2026)

BiCLIP: Domain Canonicalization via Structured Geometric Transformation
by: Mantini, Pranav, et al.
Published: (2026)

CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation
by: Nguyen, Vuong D., et al.
Published: (2024)

The Telephone Game: Evaluating Semantic Drift in Unified Models
by: Mollah, Sabbir, et al.
Published: (2025)

Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
by: Muralidhara, Shishir, et al.
Published: (2025)

MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and Modalities
by: Muralidhara, Shishir, et al.
Published: (2026)

SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning
by: Muralidhara, Shishir, et al.
Published: (2026)

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
by: Clement, Tobias, et al.
Published: (2024)

Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
by: Hegde, Niharika, et al.
Published: (2024)

TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models
by: Weijler, Lisa, et al.
Published: (2024)

Curing Semantic Drift: A Dynamic Approach to Grounding Generation in Large Vision-Language Models
by: Chen, Jiahe, et al.
Published: (2025)

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation
by: Yu, Xiao, et al.
Published: (2025)

Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
by: Seutin, Corentin, et al.
Published: (2026)

Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors
by: Phuc, Pham, et al.
Published: (2024)

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment
by: Li, Jiaze, et al.
Published: (2025)

Image Segmentation using Chan-Vese Active Contours
by: P, Pranav Shenoy K.
Published: (2025)

Visual Content Detection in Educational Videos with Transfer Learning and Dataset Enrichment
by: Biswas, Dipayan, et al.
Published: (2025)

Repurposing SAM for User-Defined Semantics Aware Segmentation
by: Kundu, Rohit, et al.
Published: (2023)

Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling
by: Ryu, Sooyoung, et al.
Published: (2026)

Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
by: Singh, Pranav, et al.
Published: (2024)

Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
by: Zhu, Qinfeng, et al.
Published: (2024)

RSGMamba: Reliability-Aware Self-Gated State Space Model for Multimodal Semantic Segmentation
by: Xu, Guoan, et al.
Published: (2026)

SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation
by: Hu, Yingzhen, et al.
Published: (2025)

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation
by: K, Sikha O, et al.
Published: (2025)

A2VIS: Amodal-Aware Approach to Video Instance Segmentation
by: Tran, Minh, et al.
Published: (2024)

BACS: Background Aware Continual Semantic Segmentation
by: ElAraby, Mostafa, et al.
Published: (2024)

SGMA: Semantic-Guided Modality-Aware Segmentation for Remote Sensing with Incomplete Multimodal Data
by: Wen, Lekang, et al.
Published: (2026)

Semantic Alignment in Hyperbolic Space for Open-Vocabulary Semantic Segmentation
by: Truong, Hoang M., et al.
Published: (2026)

A Data-Centric Approach to 3D Semantic Segmentation of Railway Scenes
by: Münger, Nicolas, et al.
Published: (2025)

Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
by: Che, Quang-Huy, et al.
Published: (2024)

Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
by: Yuan, Bo, et al.
Published: (2024)

Unsupervised Semantic Segmentation Facilitates Model Understanding
by: Yu, Xiaoyan, et al.
Published: (2026)

Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
by: Spoecklberger, Johannes, et al.
Published: (2025)

Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach
by: Ravanbakhsh, Elham, et al.
Published: (2024)

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models
by: Song, Chenyue, et al.
Published: (2025)

Context-Aware Interaction Network for RGB-T Semantic Segmentation
by: Lv, Ying, et al.
Published: (2024)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
by: Feng, Chen-Bin, et al.
Published: (2024)

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval
by: Zhang, Guosheng, et al.
Published: (2026)

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging
by: Wang, Hao, et al.
Published: (2025)