Computer Vision

Explore how artificial intelligence teaches machines to interpret and understand the visual world 👁️. Discover the latest breakthroughs in image recognition, 3D generation, and visual data analysis.

CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry.

CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry

Leave a Comment / Machine Learning, Computer Vision /

CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Remote Sensing AI · ISPRS Journal of Photogrammetry and Remote Sensing 236 (2026) 120–140 · 22 min read How Compressive Sensing Finally Broke the Phase Unwrapping Bottleneck in SAR Interferometry Researchers at Italy’s CNR-IREA fused decades-old minimum […]

CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry Read More »

GEF: Gaussian Entropy Fields for 3D Surface Reconstruction.

GEF: Gaussian Entropy Fields for 3D Surface Reconstruction

Leave a Comment / Machine Learning, Computer Vision /

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

GEF: Gaussian Entropy Fields for 3D Surface Reconstruction Read More »

Fusion-Mamba: Hidden State Space Fusion for Cross-Modality Object Detection

Fusion-Mamba: Hidden State Space Fusion for Cross-Modality Object Detection

Leave a Comment / Machine Learning, Computer Vision /

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

Fusion-Mamba: Hidden State Space Fusion for Cross-Modality Object Detection Read More »

IRDFusion: Iterative Differential Feedback for Multispectral Object Detection.

IRDFusion: Iterative Differential Feedback for Multispectral Object Detection

Leave a Comment / Machine Learning, Computer Vision /

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

IRDFusion: Iterative Differential Feedback for Multispectral Object Detection Read More »

SLGNet: Structural Priors and Language-Guided Modulation for Multimodal Object Detection.

SLGNet: Structural Priors and Language-Guided Modulation for Multimodal Object Detection

Leave a Comment / Machine Learning, Computer Vision /

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

SLGNet: Structural Priors and Language-Guided Modulation for Multimodal Object Detection Read More »

HMHI-Net: Hierarchical Memory with Heterogeneous Interaction for Video Object Segmentation.

HMHI-Net: Hierarchical Memory with Heterogeneous Interaction for Video Object Segmentation

Leave a Comment / Machine Learning, Computer Vision /

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

HMHI-Net: Hierarchical Memory with Heterogeneous Interaction for Video Object Segmentation Read More »

FedLSC: Federated Learning with Layer Similarity Comparison for Skin Cancer.

FedLSC: Federated Learning with Layer Similarity Comparison for Skin Cancer

Leave a Comment / Machine Learning, Computer Vision, Medical AI /

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

FedLSC: Federated Learning with Layer Similarity Comparison for Skin Cancer Read More »

Class-Weighted DQN for Skin Cancer Classification.

Class-Weighted DQN for Skin Cancer Classification

Leave a Comment / Machine Learning, Computer Vision, Medical AI /

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

Class-Weighted DQN for Skin Cancer Classification Read More »

BGPANet: How Bi-Granular Progressive Attention Cracked the Skin Cancer Diagnosis Problem

BGPANet: How Bi-Granular Progressive Attention Cracked the Skin Cancer Diagnosis Problem

Leave a Comment / Machine Learning, Computer Vision, Medical AI /

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

BGPANet: How Bi-Granular Progressive Attention Cracked the Skin Cancer Diagnosis Problem Read More »

DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher

DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher

Leave a Comment / Machine Learning, Computer Vision, Natural Language Processing /

DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher | AI Trend Blend AITrendBlend Machine Learning Computer Vision About 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

DAIT: Distilling CLIP into Tiny Classifiers with an Adaptive Intermediate Teacher Read More »

Follow by Email
Facebook
X (Twitter)
Tiktok