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태그
Computer Vision,
object detection,
yolo,
Classification,
Attention,
nlp,
Transformer,
self attention,
multi-head attention layer,
multi-head,
multi-head self-attention,
joint training,
image patch,
Vision Transformer,
DETR,
Bipartite Matching loss,
Direct Set Prediction,
attention map,
shadow removal network,
SR-Net,
BE-Net,
BEDSR-Net,
cnn visualization,
clss activation mapping,
weakly supervised object localization,
positional encoding,
Self-attention,
sports analysis #tracking #object detection #player tracking #HOG #localization #Trajectory illustration,
IoU #GIoU #DIoU #CIoU #Object Detection #Object Detection Loss #Deep Learning,
YOLO9000,
Object Detector,
Attention is all you need,
Grad-CAM,
VIT,
YOLOv2,
객체탐지,
RNN,
transfer learning,
욜로,
detector,
객체인식,
Decoder,
Encoder,
object,
객체,
detection,
Gap,
Cam,
transformers,