Deep Multitask Learning for Railway Track Inspection Railroad tracks need to be periodically inspected and monitored to ensure safe transportation. Automated track inspection using computer vision and pattern... X Gibert,VM Patel,R Chellappa - 《IEEE Transactions on Intelligent Transportation Systems》 ...
995 Info Connection to the Certified Safe Software Service has been restored 996 Warning Unable to connect to the Certified Safe Software Service 997 Error Tagging Error 998 Error System Event Notification Error 999 Error Internal Software Error ...
Mtrajrec: Map-constrained trajectory recovery via seq2seq multitask learning Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer Visiontraj: A noise-robust trajectory recovery framework based on large-scale camera network Learning semantic behavior for human mobility traje...
Indeed, multi-task learning algorithms are built by sharing the convolutional layer parameters between the different tasks. Hence, for the multi-task learning approach, different experiments have been carried out using pre-trained architectures like, for instance, InceptionResNetV2 and DenseN...
[2. A Deep Hierarchical Approach to Lifelong Learning in Minecraft] [3. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning] [4. Policy Distillation] [5. Progressive Neural Networks] [6. Universal Value Function Approximators]
multi-task learning;deep learning;traffic signs;YOLOv7;self-driving vehicles;decision-making 5. Comparison with Existing Works In comparison with relevant studies that exist in the literature, it can be observed that there are no studies that deal with the YOLO module, MTL, and decision-makers ...
Several Q-learning spin-off techniques are used in this field. Aljanabi and Chalechale [3] suggested a task offloading approach to a particular fog or the cloud node to establish the best decision on where and when to offload a task. As an MDP, the topic is provided and analyzed. Two ...
High learning rate.If the rate is too high, then the model converges too quickly, producing a less-than-optimal solution. If the rate is too low, then the process can get stuck, and it's even harder to reach a solution. Hardware requirements.Multicore high-performance graphics processing ...
“AI has an incredible potential to transform our lives for the better. But we need to make sure it is developed and used in a way that is safe and secure,” explained Sunak. “No one country can do this alone... 8 June 2023 | Artificial Intelligence GitHub CEO: The EU ‘will def...
2.4Multi-task framework Multi-task learning is an approach inspired by human behavior, wherein multiple tasks are handled simultaneously. This method leverages the domain information in the training signals of related tasks as an inductive bias to enhance generalization [46]. This approach enables the...