Computer vision is one of our deepest areas, covering how machines learn to see, segment, and reason about images and video. Articles here range from convolutional and transformer based architectures to dense prediction tasks like detection and segmentation, with regular coverage of medical imaging where reliable vision models carry real clinical weight. The emphasis stays on what makes a method work and where it breaks, backed by the original research.
GEF: Gaussian Entropy Fields for 3D Surface Reconstruction | AI Trend Blend AITrendBlend Machine Learning Computer Vision About 3D Computer Vision · ISPRS Journal of Photogrammetry and Remote Sensing 236 (2026) 273–285 · 24 min read GEF: What If the Secret to Better 3D Reconstruction Was Treating Surface Uncertainty as Entropy? Researchers at Shandong University […]
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Fusion-Mamba: Hidden State Space Fusion for Cross-Modality Object Detection | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Computer Vision · arXiv:2404.09146 · Beihang University · 21 min read Mamba Goes Multimodal: How Fusion-Mamba Built a Hidden State Space to End Modality Disparity Researchers at Beihang University asked what happens when you stop treating
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IRDFusion: Iterative Differential Feedback for Multispectral Object Detection | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Computer Vision · arXiv:2509.09085 · Jiangsu University · 20 min read The Feedback Loop That Fixes Multispectral Detection: How IRDFusion Borrowed from Circuit Design to Beat the State of the Art Researchers at Jiangsu University asked a
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SLGNet: Structural Priors and Language-Guided Modulation for Multimodal Object Detection | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Computer Vision · arXiv:2601.02249 · January 2026 · 22 min read When the Camera Goes Blind: How SLGNet Uses Language and Structure to See in the Dark Researchers at the Chinese Academy of Sciences built
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HMHI-Net: Hierarchical Memory with Heterogeneous Interaction for Video Object Segmentation | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Computer Vision · ACM Multimedia 2025 · arXiv:2507.22465 · 20 min read Shallow Features Matter: How HMHI-Net Fixes the Fundamental Flaw in Video Object Segmentation Memory Fudan University researchers discovered that every existing memory-based video
FedLSC: Federated Learning with Layer Similarity Comparison for Skin Cancer | AI Trend Blend AITrendBlend Machine Learning Computer Vision Medical AI About Federated Learning · Expert Systems With Applications 306 (2026) 130937 · 22 min read FedLSC: The Smarter Way to Train a Skin Cancer AI Across Hospitals Without Sharing Any Patient Data Researchers at
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Class-Weighted DQN for Skin Cancer Classification | AI Trend Blend AITrendBlend Machine Learning Computer Vision Medical AI About Medical AI · Expert Systems With Applications 293 (2025) 128426 · 18 min read Teaching an AI to Care More About the Rarest Cancers: Class-Weighted DQN for Skin Cancer Classification Researchers from KTO Karatay University and Selcuk
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BGPANet: How Bi-Granular Progressive Attention Cracked the Skin Cancer Diagnosis Problem | AI Medical Research AIMedical Research Machine Learning Medical AI About Medical Image AI · Expert Systems With Applications 321 (2026) 132169 · 16 min read BGPANet: The Bi-Granular Attention Breakthrough That Finally Taught AI to Diagnose Skin Cancer Like a Dermatologist How a
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DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher | AI Trend Blend Fine-Grained Vision · Model Compression · arXiv:2603.15166 | Nanjing Normal University · Westlake University (2026) · 20 min read DAIT: Why You Should Never Ask CLIP to Directly Teach ResNet-18 — And What to Do Instead Researchers at Nanjing Normal
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PCKD: Physically Motivated Knowledge Distillation for Blind Side-Scan Sonar Correction | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Underwater AI · Remote Sensing · arXiv:2603.15200 | Northwestern Polytechnical University · University of Girona (2026) · 22 min read PCKD: Teaching a Sonar to Straighten Itself — Blind Geometric Correction When GPS Fails Underwater
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