STSN：Object Detection in Video with Spatiotemporal Sampling Networks
STSN：Object Detection in Video with Spatiotemporal Sampling Networks STSN使用可變形卷積對視頻進行時空採樣，把這些信息用於目標檢測，用以提高檢測精度。和FGFA相比，STSN沒有用到光流數據訓練預測運動的FlowNet。 主要貢獻/解決的主要問題：針對視頻中有些視頻幀由於抖動、鏡頭不聚焦，部分遮擋、姿態變化過大等問題，此時對這
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相關文章
- 1. Spatiotemporal Residual Networks for Video Action Recognition
- 2. Spatiotemporal Multiplier Networks for Video Action Recognition
- 3. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks
- 4. Relation Distillation Networks for Video Object Detection
- 5. 論文：Moving Object Detection in HEVC Video by Frame Sub-sampling
- 6. SSN：Temporal Action Detection with Structured Segment Networks
- 7. 【Sampling】《Prime Sample Attention in Object Detection》
- 8. Temporal Context Enhanced Feature Aggregation for Video Object Detection
- 9. Overlapping Community Detection with Graph Neural Networks
- 10. 論文閱讀筆記（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）