- Hybrid Feature Collaborative Reconstruction Network for Few|Shot ...🔍
- [PDF] Bi|directional Feature Reconstruction Network for Fine ...🔍
- Few|shot image classification via hybrid representation🔍
- Fine|Grained Few|Shot Image Classification Based on Feature Dual ...🔍
- Hybrid attentive prototypical network for few|shot action recognition🔍
- [PDF] Locally|Enriched Cross|Reconstruction for Few|Shot Fine ...🔍
- Modality|collaborative Transformer with Hybrid Feature ...🔍
- Feature Reconstruction and Metric Based Network for Few|Shot ...🔍
Hybrid Feature Collaborative Reconstruction Network for Few|Shot ...
Hybrid Feature Collaborative Reconstruction Network for Few-Shot ...
In this paper, we design a new Hybrid Feature Collaborative Reconstruction Network (HFCR-Net) for few-shot fine-grained image classification.
Hybrid Feature Collaborative Reconstruction Network for Few-Shot ...
In the case of limited samples, utilizing hybrid features enables a more comprehensive and accurate capture of the inter-class differences of ...
Hybrid Feature Collaborative Reconstruction Network for Few-Shot ...
Download Citation | Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification | Our research ...
[PDF] Bi-directional Feature Reconstruction Network for Fine ...
A new Hybrid Feature Collaborative Reconstruction Network (HFCR-Net) for few-shot fine-grained image classification, which includes a Hybrid Feature Fusion ...
Few-shot image classification via hybrid representation
During the meta-testing stage, remove the softmax layer of the neural network as the feature model and then use a robust classification to achieve excellent ...
Fine-Grained Few-Shot Image Classification Based on Feature Dual ...
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification · Mask Mixup Model: Enhanced Contrastive Learning for Few ...
Hybrid attentive prototypical network for few-shot action recognition
Our framework utilizes the R(2+1)D backbone network, coupling the extraction of integrated temporal and spatial features to ensure a ...
[PDF] Locally-Enriched Cross-Reconstruction for Few-Shot Fine ...
A new Hybrid Feature Collaborative Reconstruction Network (HFCR-Net) for few-shot fine-grained image classification, which includes a Hybrid Feature Fusion ...
comprises an embedding model that maps the input images into a feature space and a base learner that associates the feature space with various ...
Modality-collaborative Transformer with Hybrid Feature ...
In this article, we propose a unified framework, Modality-Collaborative Transformer with Hybrid Feature Reconstruction (MCT-HFR), to address these issues.
Hybrid Feature Collaborative Reconstruction Network for Few-Shot ...
我们的研究集中在少样本细粒度图像分类上，面临两个主要挑战：细粒度物体的外观相似性和样本数量有限。为了保留图像的外观细节，传统的特征重建网络通常 ...
Feature Reconstruction and Metric Based Network for Few-Shot ...
Request PDF | On Jan 1, 2022, Yuewen Li and others published Feature Reconstruction and Metric Based Network for Few-Shot Object Detection | Find, read and ...
Hybrid Feature Collaborative Reconstruction Network for Few-Shot ...
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification. 2024-07-02 10:14:00. Shulei Qiu, Wanqi Yang, Ming Yang.
Modality-Collaborative Transformer with Hybrid Feature ... - CoLab
Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition ; Sun L., Lian Z., Liu B., Tao J. · Q1. IEEE Transactions on ...
bluestyle97/awesome-3d-reconstruction-papers - GitHub
Structural Causal 3D Reconstruction, Hybrid, ECCV 2022, /. Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network, Voxel, ECCV 2022, /.
Global and local representation collaborative learning for few-shot ...
Few-shot classification with feature map reconstruction networks. In Proceedings of the IEEE conference on computer vision and pattern ...
Stabilizing deep tomographic reconstruction: Part A. Hybrid ...
Recently, a PNAS paper revealed that several well-known deep reconstruction networks are unstable for computed tomography (CT) and magnetic ...
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning. 674 ... Collaborative Transportation Tasks through Video Retentive Networks. 974 ...
A DUAL-DOMAIN COLLABORATION NETWORK FOR VCS RECONSTRUCTION ... CAFCT-NET: A CNN-TRANSFORMER HYBRID NETWORK WITH CONTEXTUAL AND ATTENTIONAL FEATURE ...
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification, Shulei Qiu et.al. 2407.02123, null. 2024-07-01, Optimized ...