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HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities.

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Adarsh Dharan

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HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities., , , , и . CoRR, (2022)HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars., , , , , и . DATE, стр. 88-91. IEEE, (2022)FEDORA: Flying Event Dataset fOr Reactive behAvior., , , , и . CoRR, (2023)Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware., , , , , , и . ACM Comput. Surv., 55 (12): 243:1-243:49 (декабря 2023)Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays"., , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (4): 588 (2020)Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks., , , , , и . ECCV (29), том 12374 из Lecture Notes in Computer Science, стр. 366-382. Springer, (2020)CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays., , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (3): 295-305 (2020)HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities., , , , и . WACV, стр. 5952-5962. IEEE, (2024)Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks., , , и . IEEE Trans. Emerg. Top. Comput., 12 (1): 35-47 (января 2024)Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures., , и . CoRR, (2021)