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Deep Learning Computer Vision
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Feature Selective Networks for Object Detection
Main Contributions: sub-region attention map and aspect ratio attention map for each RoI RoI feature extractor adopt a 1 × 1 convo- lutional layer to reduce the channel number to Cs and pool...原创 2018-08-28 09:45:15 · 987 阅读 · 0 评论 -
Single-Shot Object Detection with Enriched Semantics
Detection with Enriched Semantics (DES) is a singleshot object detection network with three parts a single shot detection branch, ssd a segmentation branch to enrich semantics at low level dete...原创 2018-08-28 09:49:06 · 788 阅读 · 0 评论 -
Repulsion Loss Detecting Pedestrians in a Crowd
Contritutions: study the impact of crowd occlusion on pedestrian detection Two types of repulsion losses: RepGT Loss and RepBox Loss a crowd-robust pedestrian detector is trained end-to-end Lo...原创 2018-09-04 15:22:25 · 669 阅读 · 0 评论 -
UnitBox An Advanced Object Detection Network
where xt, xb, xl , xr represent the distances between curerent pixel location (i, j) and the top, bottom, left and right bounds of ground truth, respectively L2 Loss Layer: two drawbacks...原创 2018-09-04 18:35:03 · 922 阅读 · 0 评论