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Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

V. Patraucean, L. Smaira, A. Gupta, A. Continente, L. Markeeva, D. Banarse, S. Koppula, J. Heyward, M. Malinowski, Y. Yang, C. Doersch, T. Matejovicova, Y. Sulsky, A. Miech, A. Fréchette, H. Klimczak, R. Koster, J. Zhang, S. Winkler, Y. Aytar, S. Osindero, D. Damen, A. Zisserman, and J. Carreira. CoRR, (2023)

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Peter Skanda

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Energy-Efficient Speaker Identification with Low-Precision Networks.S. Koppula, J. Glass, and A. Chandrakasan. ICASSP, page 2246-2250. IEEE, (2018)Understanding Recurrent Neural State Using Memory Signatures.S. Koppula, K. Sim, and K. Chin. ICASSP, page 2396-2400. IEEE, (2018)Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation.M. Sharma, C. Fantacci, Y. Zhou, S. Koppula, N. Heess, J. Scholz, and Y. Aytar. ICLR, OpenReview.net, (2023)A Deep Learning Approach for Characterizing Major Galaxy Mergers.S. Koppula, V. Bapst, M. Huertas-Company, S. Blackwell, A. Grabska-Barwinska, S. Dieleman, A. Huber, N. Antropova, M. Binkowski, H. Openshaw and 8 other author(s). CoRR, (2021)Hierarchical Perceiver.J. Carreira, S. Koppula, D. Zoran, A. Recasens, C. Ionescu, O. Hénaff, E. Shelhamer, R. Arandjelovic, M. Botvinick, O. Vinyals and 3 other author(s). CoRR, (2022)Memory Consolidation Enables Long-Context Video Understanding.I. Balazevic, Y. Shi, P. Papalampidi, R. Chaabouni, S. Koppula, and O. Hénaff. CoRR, (2024)EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators.L. Orosa, S. Koppula, Y. Umuroglu, K. Kanellopoulos, J. Gómez-Luna, M. Blott, K. Vissers, and O. Mutlu. CoRR, (2022)Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller.U. Banerjee, L. Ho, and S. Koppula. CoRR, (2022)A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames.P. Papalampidi, S. Koppula, S. Pathak, J. Chiu, J. Heyward, V. Patraucean, J. Shen, A. Miech, A. Zisserman, and A. Nematzadeh. CoRR, (2023)Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions.K. Strobel, S. Zhu, R. Chang, and S. Koppula. IROS, page 1969-1975. IEEE, (2020)

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Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

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Peter Skanda

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

Please choose a person to relate this publication to

Peter Skanda

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Perception Test: A Diagnostic Benchmark for Multimodal Video Models.