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목록IMAGENET-TRAINED CNNS ARE BIASED TOWARDS TEXTURE; INCREASING SHAPE BIAS IMPROVES ACCURACY AND ROBUSTNESS 논문 리뷰 (1)
My Vision, Computer Vision
[논문 리뷰/요약]ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Convolutional Neural Networks (CNNs) are commonly thought to recognise objects by learning increasingly complex representations of object shapes. Some recent studies suggest a more important role of image textures. We here put these conflicting hypotheses arxiv.org 이 논문은 기존의 CNN 모델이 질감, 형태 중 ..
Paper
2024. 3. 25. 15:50