MGA-YOLOv4: a multi-scale pedestrian detection method based on mask-guided attention
T Wang, L Wan, L Tang, M Liu - Applied Intelligence, 2022 - Springer
To solve the problem of numerous deep convolutions in YOLOv4, which generates many
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
MGA-YOLOv4: a multi-scale pedestrian detection method based on mask-guided attention
T Wang, L Wan, L Tang, M Liu - Applied Intelligence, 2022 - dl.acm.org
To solve the problem of numerous deep convolutions in YOLOv4, which generates many
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
MGA-YOLOv4: a multi-scale pedestrian detection method based on mask-guided attention
T Wang, L Wan, L Tang, M Liu - Applied Intelligence, 2022 - search.proquest.com
To solve the problem of numerous deep convolutions in YOLOv4, which generates many
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
[PDF][PDF] MGA-YOLOv4: a multi-scale pedestrian detection method based on mask-guided attention
T Wang, L Wan, L Tang, M Liu - Applied Intelligence, 2022 - drive.google.com
To solve the problem of numerous deep convolutions in YOLOv4, which generates many
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
redundant background features so that it cannot focus on pedestrians at a specific scale, we …