Cover Image

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	AlShami, Ali K., Kalita, Ananya, Rabinowitz, Ryan, Lam, Khang, Bezbarua, Rishabh, Boult, Terrance, Kalita, Jugal
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

2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
by: AlShami, Ali K., et al.
Published: (2025)

Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
by: AlShami, Ali K., et al.
Published: (2024)

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
by: AlShami, Ali K., et al.
Published: (2025)

SGNetPose+: Stepwise Goal-Driven Networks with Pose Information for Trajectory Prediction in Autonomous Driving
by: Ghiya, Akshat, et al.
Published: (2025)

ZoDIAC: Zoneout Dropout Injection Attention Calculation
by: Zohourianshahzadi, Zanyar, et al.
Published: (2022)

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
by: Mersha, Melkamu, et al.
Published: (2024)

Adapting Feature Attenuation to NLP
by: Yang, Tianshuo, et al.
Published: (2026)

Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)

A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
by: Mersha, Melkamu Abay, et al.
Published: (2025)

COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
by: Rabinowitz, Ryan, et al.
Published: (2025)

A Novel Active Learning Approach to Label One Million Unknown Malware Variants
by: Bensaoud, Ahmed, et al.
Published: (2025)

GHOST: Gaussian Hypothesis Open-Set Technique
by: Rabinowitz, Ryan, et al.
Published: (2025)

Deep Multi-Task Learning for Malware Image Classification
by: Bensaoud, Ahmed, et al.
Published: (2024)

Solving Math Word Problems Using Estimation Verification and Equation Generation
by: Piehl, Mitchell, et al.
Published: (2025)

Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challenge
by: Duong, Anh-Kiet, et al.
Published: (2025)

Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models
by: Mersha, Melkamu Abay, et al.
Published: (2026)

Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark
by: Picek, Lukas, et al.
Published: (2024)

Abstractive Text Summarization: State of the Art, Challenges, and Improvements
by: Shakil, Hassan, et al.
Published: (2024)

Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
by: Bensaoud, Ahmed, et al.
Published: (2025)

Action-Item-Driven Summarization of Long Meeting Transcripts
by: Golia, Logan, et al.
Published: (2023)

MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
by: Gietz, Harrison, et al.
Published: (2024)

Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
by: Zingale, Joshua, et al.
Published: (2024)

Automatic Summarization of Long Documents
by: Chhibbar, Naman, et al.
Published: (2024)

Linear Relational Decoding of Morphology in Language Models
by: Xia, Eric, et al.
Published: (2025)

CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls
by: Bensaoud, Ahmed, et al.
Published: (2024)

Semantic-Driven Topic Modeling for Analyzing Creativity in Virtual Brainstorming
by: Mersha, Melkamu Abay, et al.
Published: (2025)

Image Segmentation with transformers: An Overview, Challenges and Future
by: Chetia, Deepjyoti, et al.
Published: (2025)

Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development
by: Bowers, Brian, et al.
Published: (2025)

A Survey of Malware Detection Using Deep Learning
by: Bensaoud, Ahmed, et al.
Published: (2024)

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving
by: Hassani, Hossein, et al.
Published: (2025)

Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
by: Mersha, Melkamu Abay, et al.
Published: (2024)

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
by: Mersha, Melkamu Abay, et al.
Published: (2025)

Explainability in Neural Networks for Natural Language Processing Tasks
by: Mersha, Melkamu, et al.
Published: (2024)

Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions
by: Khapre, Smita, et al.
Published: (2025)

State-of-the-Art Transformer Models for Image Super-Resolution: Techniques, Challenges, and Applications
by: Dutta, Debasish, et al.
Published: (2025)

Watchlist Challenge: 3rd Open-set Face Detection and Identification
by: Kasım, Furkan, et al.
Published: (2024)

EthioMT: Parallel Corpus for Low-resource Ethiopian Languages
by: Tonja, Atnafu Lambebo, et al.
Published: (2024)

Constraining Fundamental Constants with Fast Radio Bursts: Unveiling the Role of Energy Scale
by: Kalita, Surajit
Published: (2024)

Talk with the Things: Integrating LLMs into IoT Networks
by: Kalita, Alakesh
Published: (2025)

Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks
by: Kalita, Alakesh
Published: (2024)