Micro-benchmarks are usually not a good way to evaluate systems. That said, using a bytemap array can be very fast while also providing readable code. Let's say you want to test that string contains ...
Abstract: Recent open-vocabulary robot mapping methods enrich dense geometric maps with pre-trained visual-language features, achieving a high level of detail and guiding robots to find objects ...
Let's see how the MAP function works.
This is the official implementation of DAROD paper (2022 IEEE Intelligent Vehicle Symposium). In this repository we provide an adaption of the Faster R-CNN architecture for object detection on ...
Abstract: Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for object localization by using image-level annotation to supervise the learning process. However, ...