Classic literature reading--MobileSAM (SAM framework faster than FastSAM) - Code World

Classic literature reading--MobileSAM (SAM framework faster than FastSAM)

Enterprise 2023-09-08 20:39:51 views: null

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Origin blog.csdn.net/lovely_yoshino/article/details/131747890

Classic literature reading--MobileSAM (SAM framework faster than FastSAM)

Paper Reading：SAM & FastSAM & MobileSAM 的简单介绍

Computer Vision: FastSAM, a split-everything vision model 50 times faster than SAM

A big change in image segmentation: from SAM (segment everything) to FastSAM, MobileSAM

The division of all things, the SAM family is growing stronger! HQ-SAM, FastSAM and FasterSAM (MobileSAM)

The Chinese Academy of Sciences proposed FastSAM to quickly split all models! 50 times faster than the original version of Meta!

mobilesam:faster segment anything towards lightweight sam for mobile application

Classic literature reading - FastFlowNet (lightweight optical flow estimation)

Classic Literature Reading--RigidFusion (Dynamic Obstacle SLAM)

Classic literature reading--A Review of Motion Planning (trajectory planning review)

Classic Literature Reading--Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Reading classic literature--EdgeYOLO (edge device YOLO target detection)

Reading classic literature--SLAMesh (grid laser SLAM)

Classic literature reading--MapEX (no picture BEV perception)

Interpretation of the paper: MobileSAM | FASTER SEGMENT ANYTHING: TOWARDS LIGHTWEIGHT SAM FOR MOBILE APPLICATIONS

[AIGC] 18. MobileSAM | The first faster SAM specially designed for mobile terminals

[Notes] Literature Reading [YOLOV2]-YOLO9000: Better, Faster, Stronger

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Classic Literature Reading--Bidirectional Camera-LiDAR Fusion (Camera-LiDAR Bidirectional Fusion New Paradigm)

Classic Literature Reading--Point-LIO (Robust High Bandwidth Laser Inertial Odometer)

Classic literature reading - PIBT (real-time planning scheme based on visible tree)

Classic literature reading - NICE-SLAM (SLAM's neural implicit scalable coding)

Classic literature reading--VIP-SLAM (tightly coupled RGB-D visual-inertial plane SLAM)

Classic literature reading--R-PCC (point cloud compression method based on distance image)

Classic literature reading--NoPe-NeRF (optimizing the neural radiation field without pose prior)

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