computer vision algorithm
C31656
concept
A computer vision algorithm is a computational method that processes and interprets visual data from images or videos to automatically extract meaningful information or perform tasks such as detection, recognition, and segmentation.
Observed surface forms (6)
- object detection model ×4
- image recognition architecture ×2
- vision transformer architecture ×2
- computer vision technique ×1
- image segmentation algorithm ×1
- object detection architecture ×1
Instances (12)
- Normalized Cuts for image segmentation via concept surface "image segmentation algorithm"
- Lucas–Kanade optical flow algorithm
- Kanade–Lucas–Tomasi feature tracker
- ResNeXt via concept surface "image recognition architecture"
- DenseNet via concept surface "image recognition architecture"
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FasterRCNN
via concept surface "object detection architecture"
surface form: Faster R-CNN
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MaskRCNN
via concept surface "object detection model"
surface form: Mask R-CNN
- RetinaNet via concept surface "object detection model"
- KeypointRCNN via concept surface "object detection model"
- ViT via concept surface "vision transformer architecture"
- Swin Transformer via concept surface "vision transformer architecture"
- DETR via concept surface "object detection model"