Computer Vision Research Papers | Image Recognition & Detection

July 25, 2026

Parameter-Efficient Fine-Tuning: Unlocking Efficiency and Performance Across Modalities

Latest 16 papers on parameter-efficient fine-tuning: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Feature Extraction: Unlocking Smarter, Safer, and More Efficient AI Systems

Latest 25 papers on feature extraction: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Model Compression: Pushing the Boundaries of Efficiency from Edge to LLMs

Latest 9 papers on model compression: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

O(N) and Beyond: Cracking the Code of Computational Complexity in AI/ML

Latest 34 papers on computational complexity: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Class Imbalance: Beyond Oversampling – How AI Tackles Scarcity in 2024

Latest 24 papers on class imbalance: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Representation Learning’s Grand Tour: From Brain Waves to Battlefields and Beyond

Latest 55 papers on representation learning: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Active Learning’s Quantum Leap: Smarter Data, Safer AI, and Exascale Acceleration

Latest 13 papers on active learning: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Semi-Supervised Learning: Decoding Breakthroughs in Medical Imaging, Optimization, and Adaptive Thresholds

Latest 6 papers on semi-supervised learning: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Remote Sensing’s AI Frontier: Large Models Tackle Earth’s Grand Challenges with New Benchmarks and Robust Solutions

Latest 20 papers on remote sensing: Jul. 25, 2026

July 25, 2026

Artificial Intelligence Computer Vision Machine Learning

Robustness in the Wild: Bridging AI Research to Real-World Challenges

Latest 100 papers on robustness: Jul. 25, 2026

Parameter-Efficient Fine-Tuning: Unlocking Efficiency and Performance Across Modalities

Feature Extraction: Unlocking Smarter, Safer, and More Efficient AI Systems

Model Compression: Pushing the Boundaries of Efficiency from Edge to LLMs

O(N) and Beyond: Cracking the Code of Computational Complexity in AI/ML

Class Imbalance: Beyond Oversampling – How AI Tackles Scarcity in 2024

Representation Learning’s Grand Tour: From Brain Waves to Battlefields and Beyond

Active Learning’s Quantum Leap: Smarter Data, Safer AI, and Exascale Acceleration

Semi-Supervised Learning: Decoding Breakthroughs in Medical Imaging, Optimization, and Adaptive Thresholds

Remote Sensing’s AI Frontier: Large Models Tackle Earth’s Grand Challenges with New Benchmarks and Robust Solutions

Robustness in the Wild: Bridging AI Research to Real-World Challenges

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