Global Feature Pyramid Network
This paper presents the Global Feature Pyramid Network (GFPNet), an improved version of PAFPN that uses global data to enhance target detection. The GFPNet addresses the issue of increased false…
Continue readingArtificial Intelligence
It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
The article introduces a new framework that leverages the normalization layer in adapters with Progressive Learning and Adaptive Distillation (ProLAD) for Cross-Domain Few-Shot Learning (CD-FSL). The framework uses two separate…
Continue readingAdv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
The paper presents Adv-Diffusion, a framework for creating adversarial attacks on face recognition models. These attacks involve adding subtle perturbations to the source image to cause a misclassification by the…
Continue readingPaint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
The article introduces Paint-it, a method for synthesizing high-quality texture maps for 3D meshes using text descriptions. It utilizes a synthesis-through-optimization approach, leveraging Score-Distillation Sampling (SDS). However, direct application of…
Continue readingUse of BIM Data as Input and Output for Improved Detection of Lighting Elements in Buildings
This paper introduces a method for the automatic detection, identification, and localization of lighting elements in buildings using Building Information Modeling (BIM) data. The BIM data is used both as…
Continue readingOrientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision
The work involves the use of computer vision to enhance the accuracy of lighting elements detection in buildings. The aim is to improve the precision of the inventory of the…
Continue readingMAG-Edit: Localized Image Editing in Complex Scenarios via $\underline{M}$ask-Based $\underline{A}$ttention-Adjusted $\underline{G}$uidance
The MAG-Edit method enables localized image editing in complex scenarios. This training-free, inference-stage optimization method optimizes the noise latent feature in diffusion models by maximizing two mask-based cross-attention constraints of…
Continue readingSARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
This paper introduces Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT), a new method for addressing the emerging challenge of scaling up Robotics Transformers (RT) for on-robot deployment. The authors propose…
Continue readingBeyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses
The article discusses the limitations of Large Language Model (LLM) powered chatbots and introduces a new system, ExploreLLM. This system aims to reduce the cognitive load on users by structuring…
Continue readingMaking Large Multimodal Models Understand Arbitrary Visual Prompts
The academic article introduces a new multimodal model that can understand arbitrary visual prompts, enabling users to intuitively mark images using natural cues like a red bounding box or pointed…
Continue reading