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08/05/2023
LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling
Cross-lingual adaptation has proven effective in spoken language underst...
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11/30/2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
The main challenge for fine-grained few-shot image classification is to ...
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07/15/2022
ScaleNet: Searching for the Model to Scale
Recently, community has paid increasing attention on model scaling and c...
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06/02/2022
Multi-View Active Fine-Grained Recognition
As fine-grained visual classification (FGVC) being developed for decades...
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06/01/2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel composit...
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04/18/2022
Caption Feature Space Regularization for Audio Captioning
Audio captioning aims at describing the content of audio clips with huma...
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01/20/2022
Domain Generalization via Frequency-based Feature Disentanglement and Interaction
Data out-of-distribution is a meta-challenge for all statistical learnin...
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12/06/2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Despite great strides made on fine-grained visual classification (FGVC),...
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12/06/2021
Making a Bird AI Expert Work for You and Me
As powerful as fine-grained visual classification (FGVC) is, responding ...
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06/21/2021
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to classify sub-classes o...
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06/16/2021
Structured DropConnect for Uncertainty Inference in Image Classification
With the complexity of the network structure, uncertainty inference has ...
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06/16/2021
CMF: Cascaded Multi-model Fusion for Referring Image Segmentation
In this work, we address the task of referring image segmentation (RIS),...
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06/07/2021
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification
Classifying the sub-categories of an object from the same super-category...
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05/17/2021
Deep Metric Learning for Few-Shot Image Classification: A Selective Review
Few-shot image classification is a challenging problem which aims to ach...
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04/01/2021
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
RGB-infrared person re-identification is a challenging task due to the i...
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04/01/2021
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
Unsupervised person re-identification (re-ID) has become an important to...
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03/11/2021
Duplex Contextual Relation Network for Polyp Segmentation
Polyp segmentation is of great importance in the early diagnosis and tre...
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01/31/2021
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Fine-grained visual classification is a challenging task that recognizes...
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01/25/2021
ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning
Recently, graph neural networks (GNNs) have shown powerful ability to ha...
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01/24/2021
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
Fine-grained visual classification (FGVC) is becoming an important resea...
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01/21/2021
Progressive Co-Attention Network for Fine-grained Visual Classification
Fine-grained visual classification aims to recognize images belonging to...
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12/21/2020
Knowledge Transfer Based Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to distinguish the sub-cl...
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12/15/2020
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting
Object counting aims to estimate the number of objects in images. The le...
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11/29/2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Few-shot learning for fine-grained image classification has gained recen...
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11/18/2020
Your "Labrador" is My "Dog": Fine-Grained, or Not
Whether what you see in Figure 1 is a "labrador" or a "dog", is the ques...
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11/17/2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
This paper proposes a dual-supervised uncertainty inference (DS-UI) fram...
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11/02/2020
Actor and Action Modular Network for Text-based Video Segmentation
The actor and action semantic segmentation is a challenging problem that...
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10/12/2020
CC-Loss: Channel Correlation Loss For Image Classification
The loss function is a key component in deep learning models. A commonly...
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10/11/2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world appli...
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09/14/2020
GINet: Graph Interaction Network for Scene Parsing
Recently, context reasoning using image regions beyond local convolution...
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09/13/2020
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification
Domain adaptive person re-identification (re-ID) is a challenging task d...
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06/27/2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
Despite achieving state-of-the-art performance, deep learning methods ge...
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05/22/2020
A Concise Review of Recent Few-shot Meta-learning Methods
Few-shot meta-learning has been recently reviving with expectations to m...
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04/20/2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
A deep neural network of multiple nonlinear layers forms a large functio...
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03/10/2020
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
Channel attention mechanisms, as the key components of some modern convo...
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03/09/2020
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
In this paper, we propose a dual-attention guided dropblock module, and ...
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03/08/2020
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Fine-grained visual classification (FGVC) is much more challenging than ...
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03/08/2020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
Unsupervised domain adaptation aims to leverage labeled data from a sour...
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03/08/2020
Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building
Traditional video captioning requests a holistic description of the vide...
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02/21/2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Existing sketch-analysis work studies sketches depicting static objects ...
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02/11/2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Key for solving fine-grained image categorization is finding discriminat...
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02/09/2020
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Classifying the sub-categories of an object from the same super-category...
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11/10/2019
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval
Sketch-based image retrieval (SBIR) is a challenging task due to the lar...
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07/31/2019
Competing Ratio Loss for Discriminative Multi-class Image Classification
The development of deep convolutional neural network architecture is cri...
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05/11/2019
Deep Zero-Shot Learning for Scene Sketch
We introduce a novel problem of scene sketch zero-shot learning (SSZSL),...
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02/13/2019
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models
Variational inference (VI) is a widely used framework in Bayesian estima...
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12/27/2018
Vehicular Edge Computing via Deep Reinforcement Learning
The smart vehicles construct Vehicle of Internet which can execute vario...
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09/18/2018
Language Identification with Deep Bottleneck Features
In this paper we proposed an end-to-end short utterances speech language...
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08/02/2018
Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency
In this paper, we continue our previous work on the Dirichlet mixture mo...
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08/02/2018
