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Cell Image Analysis Techniques
Latest researchEvidence window ending 2026-08-01
Latest Computer Vision and Pattern Recognition research
Follow Computer Vision and Pattern Recognition in Scollr to keep up with new research papers as they are published, then save the studies worth reading and map how they connect.
Recent papers
Latest Computer Vision and Pattern Recognition papers
The most relevant recent papers Scollr indexed in this topic, ranked by topic relevance, citations, and recency.
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Digital Imaging for Blood Diseases
A novel approach for automated counting of tumor cell colonies
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Engineering and Test Systems
Semantic-Web-Driven Visualization and Fault-Reasoning Framework for Circuit-Oriented Systems
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Random lasers and scattering media
Task-driven single-pixel salient object detection via deep semantic compression
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Target Tracking and Data Fusion in Sensor Networks
JAF-MTT: A Jerk-Aware Multi-Feature Fusion Algorithm for Maneuvering Target Tracking
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Target Tracking and Data Fusion in Sensor Networks
Spawning Poisson Multi-Bernoulli Mixture Filter for Multi-Extended Object Tracking Using Dynamic Hybrid Detection
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Robotics and Sensor-Based Localization
OdoTest: An Automated Testing Approach for Odometry Systems
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Robotics and Sensor-Based Localization
Real-Time LiDAR Gaussian Splatting SLAM
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Robotics and Sensor-Based Localization
VCS-SLAM: Geometry-Validated Semantic Evidence Fusion for 3D Gaussian SLAM
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Robotics and Sensor-Based Localization
DL-SLAM: Enabling High-Fidelity Gaussian Splatting SLAM in Dynamic Environments based on Dual-Level Probability
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Robotics and Sensor-Based Localization
Desc++: Efficient Descriptor Enhancement for Data Association in Existing Visual SLAM Systems
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Robotics and Sensor-Based Localization
Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure
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Robotics and Sensor-Based Localization
Outdoor LiDAR SLAM algorithm integrating ground constraints and semantic information
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Robotics and Sensor-Based Localization
A Taxonomy-Driven Analysis of Learning-Based Approaches in SLAM
What is changing
What is changing in Computer Vision and Pattern Recognition
Daily publication volume across the last 30 days, drawn from Scollr's indexed literature.
FAQ
Keeping up with Computer Vision and Pattern Recognition research
How do I keep up with new Computer Vision and Pattern Recognition research?
Follow Computer Vision and Pattern Recognition in Scollr. New papers in the topic flow into a personalized feed, and you can save the studies worth reading without setting up email alerts. This page also lists the most relevant recent papers so you can scan what changed at a glance.
What are the latest Computer Vision and Pattern Recognition papers?
The recent papers section above is rebuilt continuously from Scollr's indexed literature, ranked by topic relevance, citations, and recency. Each links to its full record so you can read the abstract and follow the authors and sources behind it.
How do I find related work in Computer Vision and Pattern Recognition?
Open any paper and build a literature map to see its references, citing papers, and related research in one workspace. The related topics list on this page also routes you into adjacent research areas Scollr tracks.