The feature generator of hard negative samples for fine-grained image recognition
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.032
Abstract: Abstract The key to solving the fine-grained image recognition is exploring more discriminative features for capturing tiny hints. In particular, the triplet objective function fits well with the fine-grained image recognition task because they capture… read more here.
Keywords: fine grained; grained image; image recognition; negative samples ... See more keywords
CMSEA: Compound Model Scaling With Efficient Attention for Fine-Grained Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150320
Abstract: The purpose of fine-grained image classification is to distinguish subcategories belonging to the same basic-level category, for example, two hundred subcategories belonging to birds. It has been a challenging topic in the field of computer… read more here.
Keywords: cmsea; fine grained; model scaling; image classification ... See more keywords
Fine-Grained Image Classification With Global Information and Adaptive Compensation Loss
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3123453
Abstract: Fine-grained image classification differs from traditional image classification in that the former needs to divide subclasses under a basic level of categories. Previous works always focus on how to locate discriminative parts of objects, but… read more here.
Keywords: information; classification; fine grained; image classification ... See more keywords
Discriminative Feature Mining and Enhancement Network for Low-Resolution Fine-Grained Image Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3144186
Abstract: Existing fine-grained image recognition methods are difficult to learn complete discriminative features from low-resolution (LR) data, because the original subtle inter-class distinctions become slimmer with the reduction of the image resolution. Besides, existing methods of… read more here.
Keywords: recognition; fine grained; image recognition; grained image ... See more keywords
Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2921876
Abstract: We investigate the localization of subtle yet discriminative parts for fine-grained image recognition. Based on the observation that such parts typically exist within a hierarchical structure (e.g., from a coarse-scale “head” to a fine-scale “eye”… read more here.
Keywords: grained image; part; attention; fine grained ... See more keywords
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3043128
Abstract: Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effectiveness, metric-based methods are favorably state-of-the-art on many tasks. Most of… read more here.
Keywords: grained image; similarity; image classification; fine grained ... See more keywords
Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2852721
Abstract: We develop a fine-grained image classifier using a general deep convolutional neural network (DCNN). We improve the fine-grained image classification accuracy of a DCNN model from the following two aspects. First, to better model the… read more here.
Keywords: grained image; fine grained; image classification;
Refining deep convolutional features for improving fine-grained image recognition
Sign Up to like & getrecommendations! Published in 2017 at "EURASIP Journal on Image and Video Processing"
DOI: 10.1186/s13640-017-0176-3
Abstract: Fine-grained image recognition, a computer vision task filled with challenges due to its imperceptible inter-class variance and large intra-class variance, has been drawing increasing attention. While manual annotation can be utilized to effectively enhance performance… read more here.
Keywords: image; fine grained; recognition; grained image ... See more keywords
Hybrid Granularities Transformer for Fine-Grained Image Recognition
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25040601
Abstract: Many current approaches for image classification concentrate solely on the most prominent features within an image, but in fine-grained image recognition, even subtle features can play a significant role in model classification. In addition, the… read more here.
Keywords: fine grained; grained image; image; image recognition ... See more keywords