mtsa-snn-multi-modal-time-series-analysis-model-based-on-spiking-neural-network

공정한-보상-할당을-하는-다중-플레이어-자원-공유-게임

minecraft-ify-minecraft-style-image-generation-with-text-guided-editing

analyse-von-mehrspieler-ressourcenteilungsspielen-mit-fairer-belohnungszuweisung

mtsa-snn-eine-multi-modale-zeitreihenanalyse-basierend-auf-spiking-neural-network

음향-기반-dnn-모델을-속이는-강력한-백도어-공격

california-lawsuit-challenges-implicit-bias-training-in-healthcare


A model simplification method is proposed to accelerate two-stage object detectors for on-device inference in remote sensing, by utilizing only one feature extraction and applying a high-pass filter, while maintaining accuracy.


coremsg

accelerating-two-stage-object-detectors-for-on-device-inference-in-remote-sensing


Accelerating Two-Stage Object Detectors for On-Device Inference in Remote Sensing


title_rewrite

Simplifying two-stage object detectors