How Two-Stage Object Detectors Went From 47 Seconds to Real-Time-Adjacent
Object detection has two broad architectural families: one-stage detectors that predict boxes and classes directly in a single pass, and two-stage detectors that first propose candidate regions, then classify and refine them. Two-stage detectors were the dominant approach from 2014 to 2017 and are still the most accurate choice on many benchmarks when latency isn't the constraint. The interesting…
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