Computer Vision Research Papers | Image Recognition & Detection

May 9, 2026

Continual Learning: Navigating Non-Stationary Worlds with Dynamic Architectures and Adaptive Forgetting

Latest 30 papers on continual learning: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Transfer Learning’s Grand Tour: From Clinical Insights to Cosmic Simulations

Latest 24 papers on transfer learning: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Domain Adaptation Gets Smarter: From Geometry-Aware Models to Source-Free LLMs and Beyond

Latest 32 papers on domain adaptation: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Anomaly Detection: Navigating Complexity, Enhancing Robustness, and Unlocking Real-time Insights

Latest 45 papers on anomaly detection: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Tabular, Vision, and Biosignal Foundation Models: New Frontiers in AI Adaptability and Trustworthiness

Latest 100 papers on foundation models: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Explainable AI: Demystifying Models, Bridging Perception Gaps, and Ensuring Trust

Latest 15 papers on explainable ai: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Interpretability Unlocked: Navigating the Core Advancements in AI/ML Explanations

Latest 100 papers on interpretability: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Robotics

Object Detection’s New Horizons: From Low-Light Resilience to Quantum-Inspired Efficiency and Robotic Intelligence

Latest 38 papers on object detection: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Multi-Task Learning: Unifying AI, Disentangling Complexity, and Powering Real-World Impact

Latest 9 papers on multi-task learning: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Image and Video Processing

Image Segmentation: Navigating Complexity with Foundation Models, Quantum Leaps, and Precision Calibration

Latest 18 papers on image segmentation: May. 9, 2026

Continual Learning: Navigating Non-Stationary Worlds with Dynamic Architectures and Adaptive Forgetting

Transfer Learning’s Grand Tour: From Clinical Insights to Cosmic Simulations

Domain Adaptation Gets Smarter: From Geometry-Aware Models to Source-Free LLMs and Beyond

Anomaly Detection: Navigating Complexity, Enhancing Robustness, and Unlocking Real-time Insights

Tabular, Vision, and Biosignal Foundation Models: New Frontiers in AI Adaptability and Trustworthiness

Explainable AI: Demystifying Models, Bridging Perception Gaps, and Ensuring Trust

Interpretability Unlocked: Navigating the Core Advancements in AI/ML Explanations

Object Detection’s New Horizons: From Low-Light Resilience to Quantum-Inspired Efficiency and Robotic Intelligence

Multi-Task Learning: Unifying AI, Disentangling Complexity, and Powering Real-World Impact

Image Segmentation: Navigating Complexity with Foundation Models, Quantum Leaps, and Precision Calibration

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