<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1w9m26u/automotive_radar_object_classification_p/"> <img alt="Automotive Radar Object Classification
<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1s7p0au/tracer_learntodefer_for_llm_classification_with/"> <img alt="TRACER: Learn-to-Defer for LLM
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s41egi/rfdetr_nano_and_yolo26_doing_ondevice_object/"> <img alt="RF-DETR Nano and YOLO26 doing on-device
<!-- SC_OFF --><div class="md"><p><strong>The problem:</strong> In multi-camera tracking, when camera A loses track of a person but camera B still sees them, naive approaches
<!-- SC_OFF --><div class="md"><p>I’ve been building an open-sourced handheld device for field identification of edible and toxic plants wild plants, and fungi, running entirely
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