Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning | Paper Citation Record

Observation bcfb8ce5-b2b3-4eb4-91ec-54480b013a91 · outbound

This paper cites Cdul: Clip-driven unsupervised learning for multi-label image classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Cdul: Clip-driven unsupervised learning for multi-label image classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp

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This paper cites Laso: Label-set operations networks for multi-label few-shot learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Laso: Label-set operations networks for multi-label few-shot learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

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This paper cites Multi-label image recognition with two-stream dynamic graph convolution networks.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-label image recognition with two-stream dynamic graph convolution networks

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This paper cites Learning spatial-temporal coherent correlations for speech-preserving facial expression manipulation.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning spatial-temporal coherent correlations for speech-preserving facial expression manipulation

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This paper cites Knowledge-guided multi-label few-shot learning for general image recognition.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Knowledge-guided multi-label few-shot learning for general image recognition

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This paper cites Heterogeneous semantic transfer for multi-label recognition with partial labels.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Heterogeneous semantic transfer for multi-label recognition with partial labels

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This paper cites Structured semantic transfer for multi-label recognition with partial labels, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Structured semantic transfer for multi-label recognition with partial labels, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 7

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This paper cites Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning

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Observation 35f033f7-9a3d-40a4-80b4-3fcb9cedc554 · outbound

This paper cites Dynamiccorrelationlearningandregularizationformulti-labelconfidence calibration.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Dynamiccorrelationlearningandregularizationformulti-labelconfidence calibration

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This paper cites Learning semantic-specific graph representation for multi-label image recognition, in: Proceedings of the IEEE International Conference on Computer Vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning semantic-specific graph representation for multi-label image recognition, in: Proceedings of the IEEE International Conference on Computer Vision, pp

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This paper cites Webly supervised learning of convolutional networks, in: Proceedings of the IEEE international conference on computer vision, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Webly supervised learning of convolutional networks, in: Proceedings of the IEEE international conference on computer vision, pp

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This paper cites Learning graph convolutional networks for multi-label recognition and applications.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning graph convolutional networks for multi-label recognition and applications

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This paper cites Multi-label image recognition with graph convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-label image recognition with graph convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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This paper cites Imagenet: A large-scale hierarchical image database, in: Computer Vision and Pattern Recognition, 2009.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Imagenet: A large-scale hierarchical image database, in: Computer Vision and Pattern Recognition, 2009

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This paper cites A multi-label classification method based on transformer for deepfake detection.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning A multi-label classification method based on transformer for deepfake detection

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This paper cites Learning a deep convnet for multi-label classification with partial labels, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning a deep convnet for multi-label classification with partial labels, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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This paper cites Thepascalvisualobjectclasses(voc)challenge.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Thepascalvisualobjectclasses(voc)challenge

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This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

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This paper cites Noisy multi-label learning through co-occurrence-aware diffusion.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Noisy multi-label learning through co-occurrence-aware diffusion

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This paper cites Interactive multi-label cnn learning with partial labels, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Interactive multi-label cnn learning with partial labels, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

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This paper cites Classifier-guided clip distillation for unsupervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Classifier-guided clip distillation for unsupervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

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This paper cites Large loss matters in weakly supervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Large loss matters in weakly supervised multi-label classification, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

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This paper cites Adam: A Method for Stochastic Optimization.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Adam: A Method for Stochastic Optimization

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This paper cites MoPro: Webly Supervised Learning with Momentum Prototypes.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning MoPro: Webly Supervised Learning with Momentum Prototypes

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This paper cites WebVision Database: Visual Learning and Understanding from Web Data.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning WebVision Database: Visual Learning and Understanding from Web Data

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This paper cites Microsoft coco: Common objects in context, in: European Conference on Computer Vision, Springer.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Microsoft coco: Common objects in context, in: European Conference on Computer Vision, Springer

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This paper cites Joint multi-label learning and feature extraction for temporal link prediction.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Joint multi-label learning and feature extraction for temporal link prediction

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This paper cites Exploringthelimitsofweakly supervised pretraining, in: Proceedings of the European conference on computer vision (ECCV), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Exploringthelimitsofweakly supervised pretraining, in: Proceedings of the European conference on computer vision (ECCV), pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Semantic Representation and Dependency Learning for Multi-Label Image Recognition

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Learning transferable visual models from natural language supervision, in: Meila, M., Zhang, T

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Asymmetric loss for multi-label classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Deep co-image-label hashing for multi-label image retrieval

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This paper cites Meta-learning for multi-label few-shot classification, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp.

Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Meta-learning for multi-label few-shot classification, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Very deep convolutional networks for large-scale image recognition, in: Bengio, Y., Le- Cun, Y

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Webly supervised fine-grained recognition: Benchmark datasets and an approach, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-labelout-of-distributiondetectionviaexploitingsparsityandco-occurrence of labels

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Hcp: A flexible cnn framework for multi-label image classification

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Adahgnn: Adaptive hypergraph neural networks for multi-label image classification, in: Proceedings of the 28th ACM International Conference on Multimedia (ACMMM), pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Multi-labelrecognitioninopendrivingscenariosbasedonbipartite-drivensuperimposeddynamicgraph

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Attention-drivendynamicgraphconvolutionalnetworkformulti-labelimagerecognition,in: European Conference on Computer Vision, Springer

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Deep semantic ranking based hashing for multi-label image retrieval, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Towards robust multi-label learning against dirty label noise, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp

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Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning Residual attention: A simple but effective method for multi-label recognition, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

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