Context refinement for object detection
Current two-stage object detectors, which consists of a region proposal stage and a
refinement stage, may produce unreliable results due to ill-localized proposed regions. To …
refinement stage, may produce unreliable results due to ill-localized proposed regions. To …
Recursive context routing for object detection
Recent studies have confirmed that modeling contexts is important for object detection.
However, current context modeling approaches still have limited expressive capacity and …
However, current context modeling approaches still have limited expressive capacity and …
SIRN: An iterative reasoning network for transmission lines based on scene prior knowledge
High-accuracy positioning and identification of transmission line components is the premise
for their status detection and fault diagnosis. However, due to the limitations of imbalance …
for their status detection and fault diagnosis. However, due to the limitations of imbalance …
CGRM: A context-based graph reasoning model for fitting detection
Transmission lines' status detection and fault diagnosis are based on the high-accuracy
detection of typical fittings in aerial inspection photographs. Detecting tiny-size fittings in …
detection of typical fittings in aerial inspection photographs. Detecting tiny-size fittings in …