"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?", arXiv, 2022 (INESC TEC and University of Porto, Portugal). [Paper] "Efficient Transformers: A Survey", arXiv, 2022 (Google). [Paper] "Are we ready for a new paradigm shift? A Survey ...
[MM] Weakly Supervised 3D Object Detection from Point Clouds, [paper] [ECCV] Weakly Supervised 3D Object Detection from Lidar Point Cloud, [paper] [code] [ECCV] Pillar-based Object Detection for Autonomous Driving, [paper] [arXiv] InfoFocus: 3D Object Detection for Autonomous Driving with Dyn...
OpenFPM uses ParMetis because of the efficiency of the implemented algorithms. The approximate solution to the graph-partitioning problem computed by ParMetis then defines the assignment of sub–sub-domains to processors. Alternatively, the user can choose to distribute sub–sub-domains along a ...
This is consistent with the fact that the left (u < 0) tail is heavier: the probability mass at u < 0 must be further removed from u = 0 in order to cause E[u] = 0. Corollary 7 If the colluder strategy is the interleaving attack, θy|σ = σy c , then 2q (u2 )κ [q...
The protection of these structural elements in the arrestin N-domain could not be explained by our previous structure that lacks the rhodopsin C-tail (Kang et al., 2015), but it is consistent with the structure we report here, in which these arrestin regions are stabilized by binding to ...
[CoRL] A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots, [paper] [code] [ICCAS] Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation, [paper] [CVPR] CRAVES: Controlling Robotic Arm with a Vision-...
[CoRL] A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots, [paper] [code] [ICCAS] Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation, [paper] [CVPR] CRAVES: Controlling Robotic Arm with a Vision-...
used to create the first message. The verifier then checks if the first message sent by the prover is consistent with this randomness. Otherwise, ifb = 1, the prover returns(I'', \textsf{rand}'', s''):= ( \phi (I), \textsf{rand}_{I}, s' + s_I ). The verifier then ...
LCTR: "LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization", AAAI, 2022 (Xiamen University). [Paper] ViTOL: "ViTOL: Vision Transformer for Weakly Supervised Object Localization", CVPRW, 2022 (Mercedes-Benz). [Paper][Code (in construction)] CaFT: "...
These layouts incorporate multiple redundancy schemes, compression formats and index algorithms. Some of these layouts store information about authorities and authority masters, while others store file metadata and file data. The redundancy schemes include error correction codes that tolerate corrupted bits ...