Computer Vision Research Papers | Image Recognition & Detection

October 17, 2026

Parameter-Efficient Fine-Tuning: Charting the New Frontier of Efficiency and Intelligence

Latest 13 papers on parameter-efficient fine-tuning: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Feature Extraction Frontiers: From Multimodal Bioimaging to Smart Grids and Beyond

Latest 13 papers on feature extraction: Oct. 17, 2026

October 17, 2026

Computation and Language Computer Vision Machine Learning

Class Imbalance: New Strategies for Robustness, Fairness, and Efficiency Across AI

Latest 6 papers on class imbalance: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Representation Learning Unveiled: Navigating New Frontiers from Robotics to Healthcare

Latest 59 papers on representation learning: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Active Learning’s Leap: From Dynamic Discovery to Data-Efficient Foundation Models

Latest 15 papers on active learning: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Semi-Supervised Learning: Navigating Scarcity and Complexity with Smarter Strategies

Latest 6 papers on semi-supervised learning: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Remote Sensing’s AI Evolution: From Foundation Models to User-Centric Intelligence

Latest 17 papers on remote sensing: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Robustness Frontiers: From LLM Logic to Lunar Rovers and Quantum Communications

Latest 100 papers on robustness: Oct. 17, 2026

October 17, 2026

Artificial Intelligence Computer Vision Machine Learning

Text-to-Image Generation: Unlocking Efficiency, Safety, and Creative Control

Latest 10 papers on text-to-image generation: Oct. 17, 2026

October 17, 2026

Computer Vision Machine Learning

Segment Anything Model: Mastering Memory, Adapting to Domains, and Democratizing Deployment

Latest 4 papers on segment anything model: Oct. 17, 2026

Parameter-Efficient Fine-Tuning: Charting the New Frontier of Efficiency and Intelligence

Feature Extraction Frontiers: From Multimodal Bioimaging to Smart Grids and Beyond

Class Imbalance: New Strategies for Robustness, Fairness, and Efficiency Across AI

Representation Learning Unveiled: Navigating New Frontiers from Robotics to Healthcare

Active Learning’s Leap: From Dynamic Discovery to Data-Efficient Foundation Models

Semi-Supervised Learning: Navigating Scarcity and Complexity with Smarter Strategies

Remote Sensing’s AI Evolution: From Foundation Models to User-Centric Intelligence

Robustness Frontiers: From LLM Logic to Lunar Rovers and Quantum Communications

Text-to-Image Generation: Unlocking Efficiency, Safety, and Creative Control

Segment Anything Model: Mastering Memory, Adapting to Domains, and Democratizing Deployment

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