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A 92mW real-time traffic sign recognition system with robust light and dark adaptation.

, , , , and . A-SSCC, page 397-400. IEEE, (2011)

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A 118.4 GB/s Multi-Casting Network-on-Chip With Hierarchical Star-Ring Combined Topology for Real-Time Object Recognition., , , , , and . IEEE J. Solid State Circuits, 45 (7): 1399-1409 (2010)A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management., , , , and . ISLPED, page 365-370. ACM, (2009)A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition., , , , , and . ISSCC, page 332-333. IEEE, (2010)An attention controlled multi-core architecture for energy efficient object recognition., , , , , and . Signal Process. Image Commun., 25 (5): 363-376 (2010)2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications., , , , , , , , , and 56 other author(s). ISSCC, page 42-44. IEEE, (2024)10.4 A 1.22TOPS and 1.52mW/MHz augmented reality multi-core processor with neural network NoC for HMD applications., , , , , , , , , and . ISSCC, page 182-183. IEEE, (2014)A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference., , , , , , , , , and 21 other author(s). VLSI Circuits, page 35-36. IEEE, (2018)A simultaneous multithreading heterogeneous object recognition processor with machine learning based dynamic resource management., , , , , , and . COOL Chips, page 1-3. IEEE Computer Society, (2012)Low-Power, Real-Time Object-Recognition Processors for Mobile Vision Systems., , , , , , , and . IEEE Micro, 32 (6): 38-50 (2012)A 92mW real-time traffic sign recognition system with robust light and dark adaptation., , , , and . A-SSCC, page 397-400. IEEE, (2011)