Latest Articles for Computer Vision

A study on hand-crafted and deep learning methods for 3D object recognition.

A new framework reduces manual labeling costs in food image segmentation.

This article examines challenges in mathematical morphology for vector-valued images.

A new synthetic data generator aids human behavior analysis through realistic datasets.

New methods enhance training for better object recognition in images.

A new model improves efficiency in handling diverse vision tasks.

Robots can perform complex tasks faster using deep learning for object relevance.

A new technique helps neural networks handle image shifts and rotations.

Enhancing object recognition for small items in augmented reality environments.

New methods improve answering questions using multiple images for better insights.

New methods improve the recognition of glass surfaces using deep learning.

Study explores prompt tuning to enhance segmentation performance in computer vision.

Learn about SN-Netv2, a model that enhances efficiency in computer vision tasks.

MARFs improve how we represent and render complex 3D shapes efficiently.

A look at how CNNs and ViTs handle occlusion and patch selectivity.

New model links language understanding with image processing efficiently.

A novel approach to analyze non-Gaussian data using RFLVM.

Razor SNN enhances event processing with efficient pruning and temporal embeddings.

Introducing STTracker for improved tracking accuracy in 3D space using point clouds.

A new model improves low-resolution images efficiently.

ProbVLM enhances VLMs with probabilistic embeddings for better handling of real-world data.

A framework to enhance image classification performance with limited data.

Innovative methods improve accuracy in recognizing individuals across different camera views.

A new method for depth estimation using a single camera in robotics.

New strategies enhance quantization for Vision Transformers, boosting performance and training speed.

A new approach significantly speeds up finding roots in complex polynomial equations.

A new method enhances object detection adaptability to diverse data.

A new algorithm streamlines CNN channel pruning while maintaining accuracy.

A new system enables robots to navigate homes by avoiding obstacles through camera analysis.

A detailed study on using CNN-BiLSTM for effective handwriting recognition.

SAMAug boosts segmentation accuracy using additional point prompts from user inputs.

A new method enhances how computers process imperfect images.

Introducing MaKeGNN, an efficient approach to improve image feature matching accuracy.

ReGEN method improves image recognition in new environments without labeled data.

We propose methods to improve visual recognition in noisy, long-tailed datasets.

A new method improves segmentation accuracy using diverse generated images.

A look into ConvResNeXt's classification abilities and design efficiency.

Adversarial training improves computer vision models' robustness and interpretability.

HNDF improves 3D shape representation through innovative techniques and methods.

A new method enhances training efficiency for networks on low-resource devices.