Computer Vision Research Papers | Image Recognition & Detection

May 16, 2026

Image Segmentation: Unveiling the Future of Precision, Generalization, and Fairness in AI

Latest 27 papers on image segmentation: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Graphics

Gaussian Splatting Takes Over: From Real-Time Streaming to Physics-Aware Robots and Beyond

Latest 54 papers on gaussian splatting: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Data Augmentation: The Silent Architect of Robust AI

Latest 37 papers on data augmentation: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Sound

Deepfake Detection: Unmasking the Subtle, Shifting, and Overlooked Threats

Latest 8 papers on deepfake detection: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Catastrophic Forgetting No More: Recent Breakthroughs in Continual Learning for Large AI Models

Latest 60 papers on catastrophic forgetting: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Unpacking the ‘Why’ and ‘How’: Recent Advances in Chain-of-Thought Reasoning for LLMs

Latest 16 papers on chain-of-thought reasoning: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Meta-Learning Unleashed: Navigating Complexity from Few-Shot Vision to Scientific Discovery

Latest 12 papers on meta-learning: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Parameter-Efficient Fine-Tuning: Unlocking LLMs and Foundation Models for Every Application

Latest 30 papers on parameter-efficient fine-tuning: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Feature Extraction Frontiers: From Calibrated Sensors to Interpretable AI

Latest 43 papers on feature extraction: May. 16, 2026

May 16, 2026

Artificial Intelligence Computer Vision Machine Learning

Model Compression: Unlocking Efficiency and Generalization in the AI Frontier

Latest 7 papers on model compression: May. 16, 2026

Image Segmentation: Unveiling the Future of Precision, Generalization, and Fairness in AI

Gaussian Splatting Takes Over: From Real-Time Streaming to Physics-Aware Robots and Beyond

Data Augmentation: The Silent Architect of Robust AI

Deepfake Detection: Unmasking the Subtle, Shifting, and Overlooked Threats

Catastrophic Forgetting No More: Recent Breakthroughs in Continual Learning for Large AI Models

Unpacking the ‘Why’ and ‘How’: Recent Advances in Chain-of-Thought Reasoning for LLMs

Meta-Learning Unleashed: Navigating Complexity from Few-Shot Vision to Scientific Discovery

Parameter-Efficient Fine-Tuning: Unlocking LLMs and Foundation Models for Every Application

Feature Extraction Frontiers: From Calibrated Sensors to Interpretable AI

Model Compression: Unlocking Efficiency and Generalization in the AI Frontier

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