Tag: Computer Vision
All the talks with the tag "Computer Vision".
LightGlue - Local Feature Matching at Light Speed
Adyasha M.Published: at 02:00 PMThis paper introduces LightGlue, a deep neural network that learns to match local features across images. It presents improvements over the state-of-the-art sparse matching method, SuperGlue, making LightGlue more efficient, accurate, and easier to train. The paper provides the implementation code for LightGlue.
ORB-SLAM3 - An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Harshit AgarwalPublished: at 02:00 PMThis paper presents ORB-SLAM3, the first system able to perform visual, visual-inertial and multi-map SLAM with monocular, stereo and RGB-D cameras. The system operates robustly in real time, in small and large, indoor and outdoor environments, and is two to ten times more accurate than previous approaches.
Vision Mamba - A Brief Overview
Adhilsha AnsadPublished: at 02:00 PMThis talk presents a look into a variant of the Mamba architecture in vision tasks, a linear-time sequence modeling approach that uses selective state spaces to achieve results comparable to or even better than state-of-the-art vision models.
Near Real-Time Incremental Learning for Object Detection at the Edge
Jyotirmaya ShivottamPublished: at 07:00 PMIn this talk, we will discuss a paper about real-time Incremental Learning of new object classes for object detection at the edge.
Fooling Automated Surveillance Cameras - Adversarial Patches to Attack Person Detection
Danush ShekarPublished: at 07:00 PMIn this talk, we will discuss a paper about the generation of adversarial image patches that can be worn or held to be hidden from a person-detection classifier.