Segment to Focus: Guiding Latent Action Models in the Presence of Distractors
Fuente:
arXiv
Saved in:
| Main Authors: | Fechner, Marcus, Adnan, Hamza, Lüth, Constantin C., Jackson, Matthew T., Zakharov, Alexey, Zöllner, J. Marius |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Latent Action Learning Requires Supervision in the Presence of Distractors
by: Nikulin, Alexander, et al.
Published: (2025)
by: Nikulin, Alexander, et al.
Published: (2025)
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2024)
by: Pavlitska, Svetlana, et al.
Published: (2024)
Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2026)
by: Pavlitska, Svetlana, et al.
Published: (2026)
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2025)
by: Pavlitska, Svetlana, et al.
Published: (2025)
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
by: Wang, Yucen, et al.
Published: (2024)
by: Wang, Yucen, et al.
Published: (2024)
CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes
by: Dähling, Marius, et al.
Published: (2025)
by: Dähling, Marius, et al.
Published: (2025)
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
by: Wang, Yihao, et al.
Published: (2024)
by: Wang, Yihao, et al.
Published: (2024)
Domain-Specialized Object Detection via Model-Level Mixtures of Experts
by: Pavlitska, Svetlana, et al.
Published: (2026)
by: Pavlitska, Svetlana, et al.
Published: (2026)
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines
by: Pavlitska, Svetlana, et al.
Published: (2024)
by: Pavlitska, Svetlana, et al.
Published: (2024)
Self-Supervised Pretraining for Aerial Road Extraction
by: Polley, Rupert, et al.
Published: (2025)
by: Polley, Rupert, et al.
Published: (2025)
Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers
by: Pavlitska, Svetlana, et al.
Published: (2025)
by: Pavlitska, Svetlana, et al.
Published: (2025)
EffiComm: Bandwidth Efficient Multi Agent Communication
by: Yazgan, Melih, et al.
Published: (2025)
by: Yazgan, Melih, et al.
Published: (2025)
Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors
by: Ungermann, Paul, et al.
Published: (2024)
by: Ungermann, Paul, et al.
Published: (2024)
RobustNeRF: Ignoring Distractors with Robust Losses
by: Sabour, Sara, et al.
Published: (2023)
by: Sabour, Sara, et al.
Published: (2023)
Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey
by: Schotschneider, Albert, et al.
Published: (2025)
by: Schotschneider, Albert, et al.
Published: (2025)
DenseBEV: Transforming BEV Grid Cells into 3D Objects
by: Dähling, Marius, et al.
Published: (2025)
by: Dähling, Marius, et al.
Published: (2025)
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors
by: Pavlitska, Svetlana, et al.
Published: (2025)
by: Pavlitska, Svetlana, et al.
Published: (2025)
Automatic Fine-grained Segmentation-assisted Report Generation
by: Jonske, Frederic, et al.
Published: (2025)
by: Jonske, Frederic, et al.
Published: (2025)
What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
by: Xie, Ming-Kun, et al.
Published: (2025)
by: Xie, Ming-Kun, et al.
Published: (2025)
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting
by: Sabour, Sara, et al.
Published: (2024)
by: Sabour, Sara, et al.
Published: (2024)
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
by: Bogdoll, Daniel, et al.
Published: (2023)
by: Bogdoll, Daniel, et al.
Published: (2023)
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets
by: Uecker, Marc, et al.
Published: (2024)
by: Uecker, Marc, et al.
Published: (2024)
Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach
by: Vivekanandan, Abhishek, et al.
Published: (2024)
by: Vivekanandan, Abhishek, et al.
Published: (2024)
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors
by: Uecker, Marc, et al.
Published: (2024)
by: Uecker, Marc, et al.
Published: (2024)
The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving
by: Polley, Rupert, et al.
Published: (2025)
by: Polley, Rupert, et al.
Published: (2025)
2.5D Object Detection for Intelligent Roadside Infrastructure
by: Polley, Nikolai, et al.
Published: (2025)
by: Polley, Nikolai, et al.
Published: (2025)
Motus: A Unified Latent Action World Model
by: Bi, Hongzhe, et al.
Published: (2025)
by: Bi, Hongzhe, et al.
Published: (2025)
LAC: Latent Action Composition for Skeleton-based Action Segmentation
by: Yang, Di, et al.
Published: (2023)
by: Yang, Di, et al.
Published: (2023)
Understanding the Effects of Distractors on Reasoning Vision-Language Models
by: Bae, Jiyun, et al.
Published: (2025)
by: Bae, Jiyun, et al.
Published: (2025)
Benchmarking the Robustness of Instance Segmentation Models
by: Dalva, Yusuf, et al.
Published: (2021)
by: Dalva, Yusuf, et al.
Published: (2021)
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
by: Bogdoll, Daniel, et al.
Published: (2024)
by: Bogdoll, Daniel, et al.
Published: (2024)
Region-Normalized DPO for Medical Image Segmentation under Noisy Judges
by: Kalisch, Hamza, et al.
Published: (2026)
by: Kalisch, Hamza, et al.
Published: (2026)
Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank
by: Vivekanandan, Abhishek, et al.
Published: (2026)
by: Vivekanandan, Abhishek, et al.
Published: (2026)
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories
by: Vivekanandan, Abhishek, et al.
Published: (2025)
by: Vivekanandan, Abhishek, et al.
Published: (2025)
Face Identity Unlearning for Retrieval via Embedding Dispersion
by: Zakharov, Mikhail
Published: (2025)
by: Zakharov, Mikhail
Published: (2025)
CAGE: Circumplex Affect Guided Expression Inference
by: Wagner, Niklas, et al.
Published: (2024)
by: Wagner, Niklas, et al.
Published: (2024)
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
by: Gong, Dayoung, et al.
Published: (2024)
by: Gong, Dayoung, et al.
Published: (2024)
Stitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
by: Tian, Haitao, et al.
Published: (2024)
by: Tian, Haitao, et al.
Published: (2024)
TLD-READY: Traffic Light Detection -- Relevance Estimation and Deployment Analysis
by: Polley, Nikolai, et al.
Published: (2024)
by: Polley, Nikolai, et al.
Published: (2024)
Similar Items
-
Latent Action Learning Requires Supervision in the Presence of Distractors
by: Nikulin, Alexander, et al.
Published: (2025) -
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2024) -
Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2026) -
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2025) -
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
by: Wang, Yucen, et al.
Published: (2024)