Computer Vision Research Papers | Image Recognition & Detection

May 9, 2026

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

May 9, 2026

Artificial Intelligence Computer Vision Networking and Internet Architecture

Navigating the Future: AI Breakthroughs in Dynamic Environments

Latest 15 papers on dynamic environments: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Graphics

gaussian splatting: A Multiverse of Innovation in 3D AI and Robotics

Latest 42 papers on gaussian splatting: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Machine Learning

Unlocking AI’s Potential: Data Augmentation’s Evolving Role Across Domains

Latest 37 papers on data augmentation: May. 9, 2026

May 9, 2026

Artificial Intelligence Computer Vision Sound

Deepfake Detection: From Physics-Inspired Dynamics to Multimodal Forensics

Latest 13 papers on deepfake detection: May. 9, 2026

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

Navigating the Future: AI Breakthroughs in Dynamic Environments

gaussian splatting: A Multiverse of Innovation in 3D AI and Robotics

Unlocking AI’s Potential: Data Augmentation’s Evolving Role Across Domains

Deepfake Detection: From Physics-Inspired Dynamics to Multimodal Forensics

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