Without the dependence of depth ground truth,self‐supervised learning is a promising alternative to train monocular depth *** builds its own supervision signal with the help of other tools,such as view synthesis and ...
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Without the dependence of depth ground truth,self‐supervised learning is a promising alternative to train monocular depth *** builds its own supervision signal with the help of other tools,such as view synthesis and pose ***,more training parameters and time consumption may be *** paper proposes a monocular depth prediction framework that can jointly learn the depth value and pose transformation between images in an end‐to‐end *** depth network creatively employs an asymmetric convolution block instead of every square kernel layer to strengthen the learning ability of extracting image features when *** infer-ence time,the asymmetric kernels are fused and converted to the original network to predict more accurate image depth,thus bringing no extra computations *** network is trained and tested on the KITTI monocular *** evaluated results demonstrate that the depth model outperforms some State of the Arts(SOTA)ap-proaches and can reduce the inference time of depth ***,the pro-posed model performs great adaptability on the Make3D dataset.
This paper presents the parameter identification based on generalized orthonormal basis function (GOBF) without persistent excitation via two learning-based paradigms. The problem is formulated as a two-stage identifi...
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In this paper, a dynamic model of an industrial rotary dryer was formulated, and the model of the system was linearized using the Jacobian method. Adaptive particle swarm and gray wolf optimization-based tuning of par...
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Hashing methods have captured increasing attention in image retrieval due to their computational efficiency and low storage cost. Most existing supervised hashing approaches focus on preserving the semantic similarity...
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In recent years, humanoid robotics have achieved significant advancements, including those embodied by muscle-skeleton robots. Due to the nonlinear characteristics of these robots, reinforcement learning is a popular ...
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Steer-by-wire (SBW) is an advanced technology of great significance for the intelligent driving. To implement the function of the road feeling feedback for SBW, this paper presents a design of the road feeling feedbac...
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In recent years, the development of new energy sources has led to a reduction in the proportion of thermal power generation, which in turn has highlighted the issue of non-convexities in electricity markets. Convex hu...
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The pursuit-evasion game of non-cooperative spacecrafts under nonlinear dynamics is currently a hot topic in orbital gaming. We describe the above pursuit-evasion game model using differential game theory, transformin...
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Reinforcement learning (RL), induced by the exploration-exploitation dilemma, usually requires enough interaction experiences with the environment to improve performance. Rule-based methods utilize the internal expert...
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The ocean serves as a repository for various types of artificial ***(NPs)and nano zinc oxide(nZnO),which are frequently employed in personal care products and food packaging materials,are likely simultaneously release...
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The ocean serves as a repository for various types of artificial ***(NPs)and nano zinc oxide(nZnO),which are frequently employed in personal care products and food packaging materials,are likely simultaneously released and eventually into the ocean with surface ***,their mutual influence and shared destiny in marine environment cannot be *** study examined how nanomaterials interacted and transported through sea sand in various salinity *** showed that NPs remained dispersed in brine,while nZnO formed *** seawater of 35 practical salinity units(PSU),nZnO formed heteroaggregates with NPs,inhibiting NPs mobility and decreasing the recovered mass percentage(Meff)from 24.52%to 12.65%.In 3.5 PSU brackish water,nZnO did not significantly aggregate with NPs,and thus barely affected their ***,NPs greatly enhanced nZnO transport with Meff increasing from 14.20%to 25.08%,attributed to the carrier effect of higher mobility *** from brackishwater to seawater was simulated in salinity change experiments and revealed a critical salinity threshold of 10.4 PSU,below which the mobility of NPs was not affected by coexisting nZnO and above which nZnO strongly inhibited NP *** study highlights the importance of considering the mutual influence and shared destiny of artificial nanoparticles in the marine environment and how their interaction and cotransport are dependent on changes in seawater salinity.
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