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Multi-Label Image Recognition

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Showing 1–37 of 37 papers

TitleStatusHype
Task Singular Vectors: Reducing Task Interference in Model MergingCode2
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image RecognitionCode1
Texts as Images in Prompt Tuning for Multi-Label Image RecognitionCode1
Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial LabelsCode1
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial LabelsCode1
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image RecognitionCode1
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial LabelsCode1
Structured Semantic Transfer for Multi-Label Recognition with Partial LabelsCode1
Transformer-based Dual Relation Graph for Multi-label Image RecognitionCode1
M3TR: Multi-modal Multi-label Recognition with TransformerCode1
Residual Attention: A Simple but Effective Method for Multi-Label RecognitionCode1
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image RecognitionCode1
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image RecognitionCode1
Learning Semantic-Specific Graph Representation for Multi-Label Image RecognitionCode1
Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning—0
SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition—0
Text-Region Matching for Multi-Label Image Recognition with Missing LabelsCode0
The Solution for Language-Enhanced Image New Category Discovery—0
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning—0
PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition—0
Learning to recognize occluded and small objects with partial inputsCode0
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations—0
Semantic Contrastive Bootstrapping for Single-positive Multi-label RecognitionCode0
Semantic-Aware Graph Matching Mechanism for Multi-Label Image RecognitionCode0
Multi-Label Continual Learning using Augmented Graph Convolutional Network—0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels—0
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition—0
Semantic Representation and Dependency Learning for Multi-Label Image Recognition—0
Learning Discriminative Representations for Multi-Label Image Recognition—0
Learning Graph Convolutional Networks for Multi-Label Recognition and ApplicationsCode0
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition—0
Instance-Aware Graph Convolutional Network for Multi-Label Classification—0
Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images—0
Learning Category Correlations for Multi-label Image Recognition with Graph Networks—0
Multi-Label Image Recognition with Graph Convolutional NetworksCode0
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition—0
Multi-label Image Recognition by Recurrently Discovering Attentional Regions—0
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