EdgeSAM is an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. It achieves a 40-fold speed increase ...
The project aims at building a Visitor Verification System for domestic purposes using MAX78000FTHR utilizing state-of-the-art CNN models such as MTCNN and FaceNet for face recognition and ...
Objective: To build a three-dimensional (3D) deep learning-based computer-aided diagnosis (CAD) system and investigate its applicability for automatic detection of anterior cruciate ligament (ACL) of ...
Strain analysis provides more thorough spatiotemporal signatures for myocardial contraction, which is helpful for early detection of cardiac insufficiency. The use of deep learning (DL) to ...
See the extended installation docs for details on optional dependencies for different backends and GPU. You might also want to set up static type checking to take advantage of Thinc's type system.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results