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Deformable part models are convolutional neural networks.

, , , and . CVPR, page 437-446. IEEE Computer Society, (2015)

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MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage., , , and . ISVC (1), volume 6938 of Lecture Notes in Computer Science, page 102-111. Springer, (2011)Shallow Networks for High-accuracy Road Object-detection., , , , and . VEHITS, page 33-40. SciTePress, (2017)Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms., , and . WiMob, page 1-10. IEEE Computer Society, (2016)Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition., , , , , , , and . ICASSP, page 11901-11905. IEEE, (2024)FireCaffe: near-linear acceleration of deep neural network training on compute clusters., , , and . CoRR, (2015)DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer., , , and . CoRR, (2015)SqueezeBERT: What can computer vision teach NLP about efficient neural networks?, , , and . SustaiNLP@EMNLP, page 124-135. Association for Computational Linguistics, (2020)MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases., , , , , , , , , and 2 other author(s). ICML, OpenReview.net, (2024)libHOG: Energy-Efficient Histogram of Oriented Gradient Computation., , and . ITSC, page 1248-1254. IEEE, (2015)Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures., and . CODES+ISSS, page 1:1-1:10. ACM, (2017)