Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
該論文提出LV-Net，其包含兩個關鍵模塊：一個雙流的金字塔模塊（L形狀），一個使用了nested connection的編碼器-解碼器模塊。具體的，該L形狀的模塊使用雙流金字塔結構，將一系列互補的信息層次化的抽取出來。這一步，可以保留顯著對象的的多樣尺度和局部細節。V形狀的模塊，逐漸的將編碼器的細節特徵與解碼器的語義特徵通過nested connections的方式連接起來，目的是抑制雜亂的背景
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相關文章
- 1. Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet
- 2. Transferred Deep Learning-Based Change Detection in Remote Sensing Images
- 3. 顯著性檢測之Salient Object Detection with Pyramid Attention and Salient Edges
- 4. Parallel Feature Pyramid Network for Object Detection
- 5. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 6. salient object detection
- 7. Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 8. DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻譯
- 9. 【FPN】《Feature Pyramid Networks for Object Detection》
- 10. Sliding Shapes for 3D Object Detection in Depth Images