These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
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SUBMITProMISe: Promptable Medical Image Segmentation using SAM
Recognition/object detectionUploaded on Apr 22, 2024This paper introduces fourteen novel datasets for the evaluation of Large
Language Models' safety in the context of enterprise tasks. A method was
devised to evaluate a model's saf...
Objective(s)
Human-Computer Trust Scale (HCTS)
Interaction support/chatbotsPersonalisation/recommendersReasoning with knowledge structures/planningUploaded on Apr 10, 2024The Human-Computer Trust scale (HCTS) is a simple, nine-item attitude Likert scale that gives a global view of subjective assessments of trust in technology.
The HCTS resu...
Objective(s)
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Recognition/object detectionUploaded on Nov 1, 2023Autonomous driving is a popular research area within the computer vision
research community. Since autonomous vehicles are highly safety-critical,
ensuring robustness is essential ...
Objective(s)
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
Forecasting/predictionUploaded on Nov 1, 2023During lung radiotherapy, the position of infrared reflective objects on the
chest can be recorded to estimate the tumor location. However, radiotherapy
systems have a latency inhe...
Objective(s)
Optimal Representations for Covariate Shift
Recognition/object detectionUploaded on Nov 1, 2023The drone has been used for various purposes, including military
applications, aerial photography, and pesticide spraying. However, the drone is
vulnerable to external disturbances...
Objective(s)
MonoScene: Monocular 3D Semantic Scene Completion
Reasoning with knowledge structures/planningRecognition/object detectionUploaded on Nov 1, 2023We present a simple yet effective approach that can transform the OpenAI
GPT-3.5 model into a reliable motion planner for autonomous vehicles. Motion
planning is a core challenge i...
Objective(s)
Meta-Learning with a Geometry-Adaptive Preconditioner
Goal-driven optimisationUploaded on Nov 1, 2023We propose GANav, a novel group-wise attention mechanism to identify safe and
navigable regions in off-road terrains and unstructured environments from RGB
images. Our approach cla...
Objective(s)
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Recognition/object detectionUploaded on Nov 1, 2023Nowadays, Semi-Supervised Object Detection (SSOD) is a hot topic, since,
while it is rather easy to collect images for creating a new dataset, labeling
them is still an expensive a...
Objective(s)
MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention
Reasoning with knowledge structures/planningUploaded on Nov 1, 2023Large-scale deployment of autonomous vehicles has been continually delayed
due to safety concerns. On the one hand, comprehensive scene understanding is
indispensable, a lack of wh...
Objective(s)
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Event/anomaly detectionRecognition/object detectionUploaded on Nov 1, 2023Driven by the goal of eradicating language barriers on a global scale,
machine translation has solidified itself as a key focus of artificial
intelligence research today. However, ...
Objective(s)
ElasticFace: Elastic Margin Loss for Deep Face Recognition
Interaction support/chatbotsUploaded on Nov 1, 2023Recent work in open-domain conversational agents has demonstrated that
significant improvements in model engagingness and humanness metrics can be
achieved via massive scaling in b...
Objective(s)
Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsing
Recognition/object detectionUploaded on Nov 1, 2023Roadside camera-driven 3D object detection is a crucial task in intelligent
transportation systems, which extends the perception range beyond the
limitations of vision-centric vehi...
Objective(s)
Attention-based residual autoencoder for video anomaly detection
Recognition/object detectionUploaded on Nov 1, 2023Self-driving cars need to understand 3D scenes efficiently and accurately in
order to drive safely. Given the limited hardware resources, existing 3D
perception models are not able...
Objective(s)
