DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
Abstract: Meters in electrical equipment are often potentially threatened by foreign objects suspended on power lines, which can raise the risk of short circuits or ground faults in the line, leading ...
project-root/ │ ├── config/ │ ├── __init__.py │ ├── config.py # Environment configuration │ ├── browser_capabilities.py # Browser ...
Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
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