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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SUBMITHuman-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)
You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement
Reasoning with knowledge structures/planningRecognition/object detectionUploaded on Apr 2, 2024In this work, we introduce Mini-Gemini, a simple and effective framework
enhancing multi-modality Vision Language Models (VLMs). Despite the
advancements in VLMs facilitating basic...
Objective(s)
The VampPrior Mixture Model
Recognition/object detectionUploaded on Apr 2, 2024Language models (LMs) have proven to be powerful tools for psycholinguistic
research, but most prior work has focused on purely behavioural measures (e.g.,
surprisal comparisons). ...
Objective(s)
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention
Recognition/object detectionUploaded on Apr 2, 2024We present DeepSeek-VL, an open-source Vision-Language (VL) Model designed
for real-world vision and language understanding applications. Our approach is
structured around three ke...
Objective(s)
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
Interaction support/chatbotsRecognition/object detectionUploaded on Apr 2, 2024Multimodal Large Language Models (MLLMs) excel in generating responses based
on visual inputs. However, they often suffer from a bias towards generating
responses similar to their ...
Objective(s)
PUAD: Frustratingly Simple Method for Robust Anomaly Detection
Reasoning with knowledge structures/planningRecognition/object detectionUploaded on Apr 2, 2024The BigCode project, an open-scientific collaboration focused on the
responsible development of Large Language Models for Code (Code LLMs),
introduces StarCoder2. In partnership wi...
Objective(s)
Multiple Object Tracking as ID Prediction
Recognition/object detectionUploaded on Apr 2, 2024Earth observation (EO) applications involving complex and heterogeneous data
sources are commonly approached with machine learning models. However, there is
a common assumption tha...
Objective(s)
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Recognition/object detectionUploaded on Apr 2, 2024Object detectors often perform poorly on data that differs from their
training set. Domain adaptive object detection (DAOD) methods have recently
demonstrated strong results on add...
Objective(s)
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
Recognition/object detectionUploaded on Apr 2, 2024Image classifiers often rely on convolutional neural networks (CNN) for their
tasks, which are inherently more heavyweight than multilayer perceptrons
(MLPs), which can be problema...
Objective(s)
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Recognition/object detectionUploaded on Apr 2, 2024With the proposal of the Segment Anything Model (SAM), fine-tuning SAM for
medical image segmentation (MIS) has become popular. However, due to the large
size of the SAM model and ...
Objective(s)
Explore Human Parsing Modality for Action Recognition
Recognition/object detectionUploaded on Apr 2, 2024Vision Transformer (ViT) self-attention mechanism is characterized by feature
collapse in deeper layers, resulting in the vanishing of low-level visual
features. However, such feat...
Objective(s)
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Recognition/object detectionUploaded on Apr 2, 2024In this paper, we revisit techniques for uncertainty estimation within deep
neural networks and consolidate a suite of techniques to enhance their
reliability. Our investigation re...
Objective(s)
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
Recognition/object detectionUploaded on Apr 2, 2024In Multiple Object Tracking (MOT), tracking-by-detection methods have stood
the test for a long time, which split the process into two parts according to
the definition: object det...
Objective(s)
Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement Analysis
Recognition/object detectionUploaded on Apr 2, 2024Most recent scribble-supervised segmentation methods commonly adopt a CNN
framework with an encoder-decoder architecture. Despite its multiple benefits,
this framework generally ca...
Objective(s)
Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
Recognition/object detectionUploaded on Apr 2, 2024Multimodal Large Language Models (MLLMs) have experienced significant
advancements recently. Nevertheless, challenges persist in the accurate
recognition and comprehension of intri...
Objective(s)
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
Recognition/object detectionUploaded on Mar 15, 2024Language models (LMs) have proven to be powerful tools for psycholinguistic
research, but most prior work has focused on purely behavioural measures (e.g.,
surprisal comparisons). ...
Objective(s)
ReViT: Enhancing Vision Transformers with Attention Residual Connections for Visual Recognition
Recognition/object detectionUploaded on Mar 15, 2024In this paper, we revisit techniques for uncertainty estimation within deep
neural networks and consolidate a suite of techniques to enhance their
reliability. Our investigation re...
Objective(s)
MambaTab: A Simple Yet Effective Approach for Handling Tabular Data
Recognition/object detectionUploaded on Mar 15, 2024Multimodal Large Language Models (MLLMs) have experienced significant
advancements recently. Nevertheless, challenges persist in the accurate
recognition and comprehension of intri...
Objective(s)
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
Recognition/object detectionUploaded on Mar 15, 2024With the proposal of the Segment Anything Model (SAM), fine-tuning SAM for
medical image segmentation (MIS) has become popular. However, due to the large
size of the SAM model and ...
Objective(s)
Graph Transformers without Positional Encodings
Recognition/object detectionUploaded on Mar 15, 2024Vision Transformer (ViT) self-attention mechanism is characterized by feature
collapse in deeper layers, resulting in the vanishing of low-level visual
features. However, such feat...
Objective(s)
