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06/26/2023
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
As a promising field, Multi-Query Image Retrieval (MQIR) aims at searchi...
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01/17/2023
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval
As a fundamental and challenging task in bridging language and vision do...
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08/11/2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Few-shot Class-Incremental Learning (FSCIL) aims at learning new concept...
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08/08/2022
Boosting Video-Text Retrieval with Explicit High-Level Semantics
Video-text retrieval (VTR) is an attractive yet challenging task for mul...
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09/03/2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
General Continual Learning (GCL) aims at learning from non independent a...
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09/03/2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition
The domain shift between the source and target domain is the main challe...
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09/03/2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning
Semantic information provides intra-class consistency and inter-class di...
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06/11/2021
Step-Wise Hierarchical Alignment Network for Image-Text Matching
Image-text matching plays a central role in bridging the semantic gap be...
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07/17/2020
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
Image-text matching plays a central role in bridging vision and language...
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01/19/2020
GTNet: Generative Transfer Network for Zero-Shot Object Detection
We propose a Generative Transfer Network (GTNet) for zero shot object de...
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08/26/2019
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification
Zero-Shot Classification (ZSC) equips the learned model with the ability...
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04/20/2019
Saliency-Guided Attention Network for Image-Sentence Matching
This paper studies the task of matching image and sentence, where learni...
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11/20/2018
Bi-Adversarial Auto-Encoder for Zero-Shot Learning
Existing generative Zero-Shot Learning (ZSL) methods only consider the u...
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05/21/2018
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning
Zero-Shot Learning (ZSL) is achieved via aligning the semantic relations...
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02/06/2018
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing
Zero-Shot Hashing aims at learning a hashing model that is trained only ...
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12/26/2017
Zero-Shot Learning via Latent Space Encoding
Zero-Shot Learning (ZSL) is typically achieved by resorting to a class s...
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07/13/2017
Query-Aware Sparse Coding for Multi-Video Summarization
Given the explosive growth of online videos, it is becoming increasingly...
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05/22/2017
Semantic Softmax Loss for Zero-Shot Learning
A typical pipeline for Zero-Shot Learning (ZSL) is to integrate the visu...
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03/27/2017
Transductive Zero-Shot Learning with Adaptive Structural Embedding
Zero-shot learning (ZSL) endows the computer vision system with the infe...
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03/27/2017
Transductive Zero-Shot Learning with a Self-training dictionary approach
As an important and challenging problem in computer vision, zero-shot le...
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06/30/2016
