Computer Vision Research Papers | Image Recognition & Detection

August 15, 2026

Parameter-Efficient Fine-Tuning: Unlocking Smarter, Leaner AI Across Modalities

Latest 13 papers on parameter-efficient fine-tuning: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Machine Learning

Feature Extraction Frontiers: From Multimodal Biometrics to Efficient Industrial AI

Latest 27 papers on feature extraction: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Multimedia

Model Compression: Navigating the Trade-offs of Efficiency, Robustness, and Real-World Deployment

Latest 2 papers on model compression: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Information Theory

O(N) Complexity: The Race for Efficiency in AI/ML

Latest 38 papers on computational complexity: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Machine Learning

Class Imbalance: Navigating the AI Frontier with Novel Solutions and Robust Frameworks

Latest 15 papers on class imbalance: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Machine Learning

Representation Learning Unpacked: From Physical Biases to Self-Supervised Horizons

Latest 75 papers on representation learning: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Machine Learning

Active Learning’s Latest Leap: From Medical Diagnostics to Autonomous Labs

Latest 8 papers on active learning: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision

Semi-Supervised Learning Unleashes Potential: Smarter Data, Sharper Models, and Real-World Impact

Latest 3 papers on semi-supervised learning: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Machine Learning

Remote Sensing’s AI Revolution: From Smart Satellites to Self-Adapting Models

Latest 28 papers on remote sensing: Aug. 15, 2026

August 15, 2026

Artificial Intelligence Computer Vision Machine Learning

Robustness Frontiers: From Imperfect Data to Intelligent Systems

Latest 100 papers on robustness: Aug. 15, 2026

Parameter-Efficient Fine-Tuning: Unlocking Smarter, Leaner AI Across Modalities

Feature Extraction Frontiers: From Multimodal Biometrics to Efficient Industrial AI

Model Compression: Navigating the Trade-offs of Efficiency, Robustness, and Real-World Deployment

O(N) Complexity: The Race for Efficiency in AI/ML

Class Imbalance: Navigating the AI Frontier with Novel Solutions and Robust Frameworks

Representation Learning Unpacked: From Physical Biases to Self-Supervised Horizons

Active Learning’s Latest Leap: From Medical Diagnostics to Autonomous Labs

Semi-Supervised Learning Unleashes Potential: Smarter Data, Sharper Models, and Real-World Impact

Remote Sensing’s AI Revolution: From Smart Satellites to Self-Adapting Models

Robustness Frontiers: From Imperfect Data to Intelligent Systems

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