What is recorded here?
Placed fixed-bin spatial pyramid pooling above convolutional maps to produce fixed-length features from varying image/region sizes and reuse whole-image convolutions across detection proposals.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Spatial pyramid pooling predates this deep-network integration. Original training uses selected fixed input sizes with shared weights; acceptance of variable shapes is not proven accuracy invariance across arbitrary scales. Detector speedups are source benchmark conditions, not universal end-to-end ratios.
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People and systems
Kaiming He; Xiangyu Zhang; Shaoqing Ren; Jian Sun
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
SPP-net: spatial pyramid pooling on convolutional feature maps
Placed fixed-bin spatial pyramid pooling above convolutional maps to produce fixed-length features from varying image/region sizes and reuse whole-image convolutions across detection proposals.
Scientific scope
Spatial pyramid pooling predates this deep-network integration. Original training uses selected fixed input sizes with shared weights; acceptance of variable shapes is not proven accuracy invariance across arbitrary scales. Detector speedups are source benchmark conditions, not universal end-to-end ratios.
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
Kaiming He; Xiangyu Zhang; Shaoqing Ren; Jian Sun
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.