Our experiments demonstrate that the proposed simple yet effective REusing ImageNet (REIN) technique improves the performance of object detectors in an open-set ...
Our experiments demonstrate that the proposed simple yet effective REusing ImageNet (REIN) technique improves the performance of object detectors in an open-set ...
The proposed simple yet effective REusing ImageNet (REIN) technique improves the performance of object detectors in an open-set setting and can encourage ...
In this paper, we propose a novel open-vocabulary object detection framework directly learning from image-text pair data. We formulate object-language alignment ...
REIN: Reusing ImageNet to Improve Open-set Object Detection. REIN:オープンセットオブジェクト検出を改善するための画像ネット再利用【JST・京大機械翻訳】.
REIN: Reusing ImageNet to Improve Open-set Object Detection. W Li, M Farazi, J Hong, L Petersson. 2023 International Conference on Digital Image Computing ...
Our main hypothesis is that the features learnt by train- ing on large-scale image classification tasks are better for the object detection task than those ...
Missing: REIN: | Show results with:REIN:
The proposed simple yet effective REusing ImageNet (REIN) technique improves the performance of object detectors in an open-set setting and can encourage ...
Recent work has shown that this practice is not strictly necessary and that it is possible to train an object detector from scratch by training for much longer.
Missing: REIN: set
REIN: Reusing ImageNet to Improve Open-set Object Detection. W Li, M Farazi, J Hong, L Petersson. 2023 International Conference on Digital Image Computing ...