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Computing & AI · Source-linked note

Lin and colleagues: focal loss and RetinaNet

Introduced focal loss to down-weight easy negatives in dense object detection and demonstrated it with RetinaNet.

What is recorded here?

Introduced focal loss to down-weight easy negatives in dense object detection and demonstrated it with RetinaNet.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Focal loss and the RetinaNet evaluation are one contribution package; not the invention of one-stage object detection.

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People and systems

Tsung-Yi Lin; Priya Goyal; Ross Girshick; Kaiming He; Piotr Dollár

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

Research locations and affiliations

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English catalogue narrative

Lin and colleagues: focal loss and RetinaNet

Introduced focal loss to down-weight easy negatives in dense object detection and demonstrated it with RetinaNet.

Scientific scope

Focal loss and the RetinaNet evaluation are one contribution package; not the invention of one-stage object detection.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Tsung-Yi Lin; Priya Goyal; Ross Girshick; Kaiming He; Piotr Dollár

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

Original sources