Latest Articles for Computer Vision

Order-preserving Consistency Regularization improves model performance in diverse situations.

EoRaS improves object shape understanding in video segmentation.

New method improves object localization using relationships between language and images.

A new framework improves access and organization of visual datasets for better algorithms.

A new approach to improve object tracking in augmented reality using mobile devices.

New method targets hard regions for effective adversarial attacks in video segmentation.

A new method boosts fine-grained classification using part discovery and contrastive learning.

New methods improve object tracking and motion separation in challenging video scenes.

Examining the impact of adversarial attacks on Re-ID technology.

This study focuses on deep learning for detecting automotive wire harness connectors.

ViWS-Net effectively removes various weather conditions from video, improving clarity and quality.

LogicSeg combines data-driven learning and logic reasoning for better image understanding.

This dataset aids robots in better understanding urban environments.

A new method offers multiple reasons for image classifications, enhancing understanding and trust.

SINCERE improves supervised contrastive learning with better class separation and representation.

Assessing large models on low-level visual tasks through Q-Bench.

AsymFormer enhances robot environment understanding with efficient RGB-D processing.

Strategies to enhance interpretability in AI systems for better understanding.

This article examines the role of language models in answering questions from documents.

A new dataset aimed at improving object recognition during cutting.

A new method allows models to recognize both known and unknown objects.

A new method generates detailed labels for semantic segmentation using synthetic data.

New methods improve performance evaluation of small objects in WSSS.

BoIR method improves tracking of multiple people in images, enhancing accuracy in crowded scenes.

A new method improves 3D object learning without labeled data.

A new method enhances camera placement for high-quality 3D image generation.

New methods improve memory efficiency and accuracy in video object segmentation.

A new method improves 3D pose estimation from 2D images of multiple people.

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.