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08/07/2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
The scene graph generation (SGG) task is designed to identify the predic...
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06/08/2023
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Large language models (LLMs)have achieved great success in general domai...
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04/14/2023
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
The pandemic of COVID-19 has inspired extensive works across different r...
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04/03/2023
FMGNN: Fused Manifold Graph Neural Network
Graph representation learning has been widely studied and demonstrated e...
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04/02/2023
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
In the research of end-to-end dialogue systems, using real-world knowled...
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11/29/2022
Similarity Distribution based Membership Inference Attack on Person Re-identification
While person Re-identification (Re-ID) has progressed rapidly due to its...
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11/20/2022
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
In recent years, person Re-identification (ReID) has rapidly progressed ...
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06/29/2022
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
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06/04/2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Most recent self-supervised learning methods learn visual representation...
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03/19/2022
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm
Vertical federated learning (VFL) attracts increasing attention due to t...
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10/29/2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Deep Metric Learning (DML) plays a critical role in various machine lear...
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09/26/2021
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
Vertical federated learning (VFL) is an effective paradigm of training t...
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07/20/2021
Group Contrastive Self-Supervised Learning on Graphs
We study self-supervised learning on graphs using contrastive methods. A...
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06/22/2021
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a novel cross-modal ...
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03/09/2021
Doubly Contrastive Deep Clustering
Deep clustering successfully provides more effective features than conve...
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03/01/2021
Universal-Prototype Augmentation for Few-Shot Object Detection
Few-shot object detection (FSOD) aims to strengthen the performance of n...
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03/01/2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Vertical federated learning (VFL) attracts increasing attention due to t...
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12/31/2020
Incremental Embedding Learning via Zero-Shot Translation
Modern deep learning methods have achieved great success in machine lear...
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11/17/2020
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
Grouping has been commonly used in deep metric learning for computing di...
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10/26/2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Deep metric learning plays a key role in various machine learning tasks....
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08/14/2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
The privacy-preserving federated learning for vertically partitioned dat...
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05/08/2020
Projection Probability-Driven Black-Box Attack
Generating adversarial examples in a black-box setting retains a signifi...
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03/22/2020
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-mod...
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03/19/2020
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Referring expression comprehension (REC) and segmentation (RES) are two ...
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05/09/2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Due to the high storage and search efficiency, hashing has become preval...
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05/07/2019
Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-mod...
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04/30/2019
Deep Spectral Clustering using Dual Autoencoder Network
The clustering methods have recently absorbed even-increasing attention ...
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04/18/2019
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
Hash based nearest neighbor search has become attractive in many applica...
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04/16/2019
Shared Predictive Cross-Modal Deep Quantization
With explosive growth of data volume and ever-increasing diversity of da...
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04/10/2019
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Recent years have witnessed the quick progress of the hyperspectral imag...
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04/04/2019
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics
As JPEG is the most widely used image format, the importance of tamperin...
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04/04/2019
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification
Deep learning has recently attracted significant attention in the field ...
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04/04/2019
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval
Given the benefits of its low storage requirements and high retrieval ef...
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04/03/2019
Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval
Zero-shot sketch-based image retrieval (ZS-SBIR) is a task of cross-doma...
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03/06/2019
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification
Two-stream architecture have shown strong performance in video classific...
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03/06/2019
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
In recent years, hashing has attracted more and more attention owing to ...
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02/17/2019
Fully-Featured Attribute Transfer
Image attribute transfer aims to change an input image to a target one w...
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01/23/2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
The success of convolutional neural networks (CNNs) in computer vision a...
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12/03/2018
Towards Visual Feature Translation
Most existing visual search systems are deployed based upon fixed kinds ...
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04/04/2018
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
Thanks to the success of deep learning, cross-modal retrieval has made s...
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09/05/2015
