Distilling Image Classifiers in Object Detectors
Authors: Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
NeurIPS 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our experiments on several detectors with different backbones demonstrate the effectiveness of our approach, allowing us to outperform the state-of-the-art detector-to-detector distillation methods. |
| Researcher Affiliation | Collaboration | Shuxuan Guo1, 2 Jose M. Alvarez2 Mathieu Salzmann1 1CVLab, EPFL, Lausanne 1015, Switzerland 2NVIDIA, Santa Clara, CA 95051, USA |
| Pseudocode | No | The paper describes the proposed algorithms mathematically and textually but does not include formal pseudocode blocks or algorithm listings. |
| Open Source Code | Yes | Our code is avlaible at: https://github.com/NVlabs/DICOD. |
| Open Datasets | Yes | All models are trained and evaluated on MS COCO2017 [23], which contains over 118k images for training and 5k images for validation (minival) depicting 80 foreground object classes. |
| Dataset Splits | Yes | All models are trained and evaluated on MS COCO2017 [23], which contains over 118k images for training and 5k images for validation (minival) depicting 80 foreground object classes. |
| Hardware Specification | Yes | All object detectors are trained in their default settings on Tesla V100 GPUs. |
| Software Dependencies | No | Our implementation is based on MMDetection [6] with Pytorch [29]. While software is mentioned, specific version numbers for MMDetection or PyTorch are not provided. |
| Experiment Setup | Yes | All object detectors are trained in their default settings on Tesla V100 GPUs. The SSDs follows the basic training recipe in MMDetection [6]. The lightweight Faster RCNNs are trained with a 1 training schedule for 12 epochs. ... We use a Res Net50 with input resolution 112 112 as classification teacher for all student detectors. ... the Faster RCNN-R50 and Retina Net-R50 are trained with a 2 schedule for 24 epochs. ... Ablation studies for hyperparameters are also provided. |