A Mutual Supervision Framework for Referring Expression Segmentation and Generation

A Mutual Supervision Framework for Referring Expression Segmentation and Generation

Information Science, Computer Science, Artificial Intelligence,
Referring Expression Segmentation   Referring Expression Generation   Mutual Supervision   Transformer   Computer Vision   Natural Language Processing   Image Segmentation  

A Mutual Supervision Framework for Referring Expression Segmentation and Generation Research Background and Problem Statement In recent years, vision-language interaction technology has made remarkable progress in the field of artificial intelligence. Among these advancements, referring expression segmentation (RES) and referring expression generat...

Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection

Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection

Information Science, Computer Science, Artificial Intelligence,
zero-shot detection   multi-object scenarios   vision-language model   out-of-distribution detection   maximum concept matching  

GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection Research Background and Problem Statement In real-world applications, machine learning models often face changes in data distribution, such as the emergence of new categories. This phenomenon is known as “Out-of-Distribution Detection (OOD).” To ensure the...

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Chemistry, Nanoscience, Engineering, Mechanical Engineering, Ocean Engineering, Transportation Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
3D object detection   geometric pretraining   vision-centric   autonomous driving   cross-modal   knowledge distillation   Lidar  

Lidar-Guided Geometric Pretraining Enhances Performance of Vision-Centric 3D Object Detection Background Introduction In recent years, multi-camera 3D object detection has garnered significant attention in the field of autonomous driving. However, vision-based methods still face challenges in precisely extracting geometric information from RGB imag...

An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training

Information Science, Computer Science, Artificial Intelligence,
masked image modeling   vision transformers   lightweight networks   knowledge distillation   visual tracking  

An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training Academic Background In recent years, self-supervised learning (SSL) has made significant progress in the field of computer vision. In particular, the successful application of masked image modeling (MIM) pre-training methods on large-sca...

High-Throughput Discovery of Inhibitory Protein Fragments with AlphaFold

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Biophysics,
inhibitory peptides   protein interactions   deep mutational scanning   high-throughput computation   FragFold  

High-Precision Prediction of Protein Fragment Inhibitory Activity: The Application of FragFold Academic Background Protein interactions play a crucial role in cellular life activities, and peptides or protein fragments can regulate protein functions by binding to specific protein interfaces, even acting as inhibitors. Recent developments in high-th...

Identifying New Classes of Financial Price Jumps with Wavelets

Mathematics, Chemistry, Information Science, Computer Science, Artificial Intelligence, Life Sciences,
financial jumps   classification   wavelets   reflexivity   cojumps  

Research Report on Identifying New Classes of Financial Price Jumps Using Wavelets Academic Background Price jumps in financial markets refer to significant price fluctuations occurring within an extremely short period, typically caused by exogenous factors (such as sudden news) or endogenous factors (internal market feedback mechanisms). Distingui...