GitHub

RadarMOTR: Multi-Object Tracking with Transformers on Range-Doppler Maps

RadarMOTR is a transformer neural network based on MOTRv2 able to track multiple objects in Range-Doppler maps. Objects are first detected by an external detector based on CFAR & DBSCAN clustering.
GitHub

Bytemap contains types for making maps from bytes to bool, integer, or float using a backing array.

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 ...
IEEE

osmAG-LLM: Zero-Shot Open-Vocabulary Object Navigation via Semantic Maps and Large Language Models Reasoning

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 ...
MUO on MSN

5 real world examples where Excel's MAP function shines

Let's see how the MAP function works.
IEEE

Background-Aware Classification Activation Map for Weakly Supervised Object Localization

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, ...