Latest Articles for Image Recognition

Examining how vision transformers understand object relationships in images.

A study reveals key differences in how humans and AI represent images.

A study on how VAEs perform across different demographic groups under attack.

HEML enhances image classification by focusing on important segments for better explanations.

FALIP enhances CLIP's image and text understanding without altering originals.

This project aims to classify snake species using image analysis techniques.

New methods enhance the detection of angled objects in aerial imagery.

A new evaluation measure improves model performance in multi-label classification tasks.

A tool to analyze and improve computer image recognition errors.

SPIN offers detailed subpart annotations to improve image recognition.

NOVIC introduces open vocabulary capabilities for identifying unseen objects in images.

New attention methods improve transformer models in efficiency and performance.

A program enhances robot object detection in changing environments.

A new method enhances clarity in image recognition tasks.

A look at the strengths and weaknesses of KANs and MLPs in machine learning.

PEEKABOO helps machines locate objects without labeled data through image masking.

New methods make image recognition models smaller and more efficient.

MALT improves adversarial attack efficiency and success in image classification models.

A new approach enhances domain adaptation performance in machine learning.

MoMa improves efficiency in processing images and text together.

A study on the challenges and solutions for hallucination in MLLMs.

This paper explores the impact of noise on softmax outputs and classification accuracy.

This article examines YOLOv8's effectiveness in identifying strawberry ripeness.

Self-TPT simplifies prompt tuning for vision-language models, improving speed and efficiency.

A new method improves text recognition in natural scenes using innovative techniques.

A new approach aims to improve active learning's resilience to attacks.

A new method enhances model recognition of unseen attribute-object combinations.

Research shows how repeated exposure improves image recognition in the brain.

A new framework enhances machine learning adaptability in diverse visual environments.

This article explores the impact of attacks on machine learning models and defensive strategies.

Learn how group symmetries can enhance classification models in machine learning.

A new method aims to reduce bias in machine learning models for better fairness.

A new method enhances clarity in dialogue through effective referring expressions.

This research aims to create CAPTCHAs that confuse machines but are clear to humans.

MIP-GAF dataset helps analyze social dynamics in images.

Research presents a method to improve image recognition using fewer examples.

New method improves clustering for large datasets using Stochastic Quantization.

This article evaluates sentiment and meaning in image captions.

Research reveals gaps in image classification models when objects are partially hidden.

LPT++ improves object recognition in classes with few examples through advanced techniques.