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    DETR

    DETR

    End-to-end object detection with transformers

    PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based global loss, which forces unique predictions via bipartite matching, and a Transformer encoder-decoder architecture. ...
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  • 2

    StrategyStateGenerator

    Generator for strategy and/or state pattern code in Java

    New version 2.0.4 is available since April, 4th 2017 ========================================= Please download from here: https://sourceforge.net/projects/strategystategenerator/files/strategy-state-generator-2.0.4/ Description =========== The *Strategy/State Generator* creates Java Source Code for classes representing strategies of strategy pattern or states of state pattern in a half-automated way. The *State Pattern* and the *Strategy Pattern* are from a technical view identical (see [Design Pattern](http://c2.com/cgi/wiki?StrategyPattern)). Thus the ancestor project [Strategy Generator](https://sourceforge.net/projects/strategygenerator/) has been adapted as new project *Strategy/State Generator* to generate also *State Pattern* Java source code. ...
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