What is recorded here?
Trained a sequence of detector heads at increasing IoU quality thresholds, using progressively refined proposals to address sample scarcity and train–inference quality mismatch.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Not merely repeated application of one fixed regressor: stages are trained for different proposal distributions/thresholds. Extra stages add computation. Empirical sample-quality and accuracy improvements are not a guarantee of monotone localization for every object.
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People and systems
Zhaowei Cai; Nuno Vasconcelos
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Cascade R-CNN: stage-specific detection at increasing overlap thresholds
Trained a sequence of detector heads at increasing IoU quality thresholds, using progressively refined proposals to address sample scarcity and train–inference quality mismatch.
Scientific scope
Not merely repeated application of one fixed regressor: stages are trained for different proposal distributions/thresholds. Extra stages add computation. Empirical sample-quality and accuracy improvements are not a guarantee of monotone localization for every object.
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
Zhaowei Cai; Nuno Vasconcelos
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.