Latest Articles for Computer Vision

A new approach simplifies adaptation for object detection across various environments.

M 3D improves machine understanding of visual data using images and depth information.

A new method improves the fine-tuning of vision transformers, reducing computation needs.

ObVi-SLAM improves robot localization by combining visual features and object detection.

A method to cartoonize faces while preserving unique features.

A new approach translates text descriptions into video sequences.

A new approach streamlines model design for devices with limited computing power.

Enhancing Zero-Shot NAS using bias correction for better model performance.

Mask4D improves object tracking and recognition in dynamic environments using LiDAR data.

Introducing an active learning method that combines uncertainty and diversity for improved labeling efficiency.

Combining points and lines improves accuracy in estimating image relationships.

Introducing Q-REG, a method optimizing 3D point cloud registration through end-to-end training.

New methods improve VideoQA performance using minimal training data.

STRPCA enhances background subtraction for better object detection in videos.

A novel method to create images quickly based on camera positions in real spaces.

New dataset and method improve facade parsing accuracy and efficiency.

Combining language and vision models enhances image question answering without extensive training.

Study shows Supervised Contrastive Learning enhances model performance across varied datasets.

Learn about new techniques improving camera orientation in 3D scene reconstruction.

A new model improves image recognition by adapting to transformations uniquely.

Introducing MetaCLIP for better image-text data collection.

Model2Scene uses CAD models and language to improve 3D scene learning.

A new method improves tracking and processing in video analysis.

New method reduces vision tokens for cost-effective training.

Learn about methods to efficiently handle multi-dimensional data using tensor recovery.

A new method improves object detection by integrating RGB and IR data.

A new dataset enhances machine learning for answering visual questions accurately.

A new framework improves object detection accuracy in real-world environments.

This article discusses a new approach to enhance robot navigation using place recognition.

This article discusses using entropy to enhance neural network performance and interpretability.

A new dataset improves zero-shot learning for video action recognition.

Discover the impact of data filtering networks on machine learning datasets and model performance.

A new method enhances rendering of dynamic scenes using forward warping techniques.

Geal enhances data selection efficiency in computer vision using general-purpose models.

New dataset and model improve object identification from complex queries.

APNet combines aerial images and point clouds for better urban analysis.

A new system enhances object tracking in dynamic environments for robots and self-driving cars.

This study explores YOLOv5 for effective document layout detection and data extraction.

Research on improving human pose estimation through diverse datasets and model scaling.

A comparison of image quality measures in modern image generation.