Mar 4, 2022 · This paper proposes a new attention module, a new FPN structure, and other optimization tricks for small object detection.
Jan 1, 2022 · A new mechanism combining channel attention and spatial attention is introduced to improve the feature extraction ability of the backbone.
The DenseNet module is introduced into the low-level layers of backbone to enhance the transmission ability of objects information and a new mechanism ...
At the same time, a new mechanism combining channel attention and spatial attention is introduced to improve the feature extraction ability of the backbone.
We propose the Parallel Residual Bi-Fusion Feature Pyramid Network (PRB-FPN) for fast and accurate single-shot object detection. Feature Pyramid (FP) is widely ...
Nov 20, 2023 · In this paper, we propose an improved algorithm for small object detection to address these issues. By using the spatial pyramid to extract multi-scale spatial ...
A small object detection method based on the combination of global and local attention mechanism is proposed in this paper to detect small objects distributed ...
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Mar 29, 2024 · Multi-branch structure consisting of convolution and maxpooling, and the parameter-free SimAM attention mechanism. By combining these two parts, ...
Apr 21, 2023 · We propose a cross-layer attention (CLA) block as a generic block for capturing long-range dependencies and reducing noise from high-level features.
Feb 22, 2024 · In this paper, we propose YOLO-TLA, an advanced object detection model building on YOLOv5. We first introduce an additional detection layer for small objects.