Archives for UPDETR
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
DETR(Detection Transformer) is an end to end object detection model that does object classification and localization i.e boundary box detection. It is a simple encoder-decoderTransformer with a novel loss function that allows us to formulate the complex object detection problem as a set prediction problem.
The post How To Detect Objects With Detection Transformers? appeared first on Analytics India Magazine.