CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams is a scholarly article[1].
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CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. Retrieved October 18, 2026, from https://4ort.xyz/entity/cbinfer-exploiting-frame-to-frame-locality-for-faster-convolutional-network-inference-on-video-streams
MLA“CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/cbinfer-exploiting-frame-to-frame-locality-for-faster-convolutional-network-inference-on-video-streams.
BibTeX@misc{4ortxyz_cbinfer-exploiting-frame-to-frame-locality-for-faster-convolutional-network-inference-on-video-streams_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams}}, year = {2026}, url = {https://4ort.xyz/entity/cbinfer-exploiting-frame-to-frame-locality-for-faster-convolutional-network-inference-on-video-streams}, note = {Accessed: 2026-10-18}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams — https://4ort.xyz/entity/cbinfer-exploiting-frame-to-frame-locality-for-faster-convolutional-network-inference-on-video-streams (retrieved 2026-10-18)
