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05/29/2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Recent advances in robust semi-supervised learning (SSL) typically filte...
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12/10/2022
Position Embedding Needs an Independent Layer Normalization
The Position Embedding (PE) is critical for Vision Transformers (VTs) du...
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11/21/2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Most video-and-language representation learning approaches employ contra...
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10/16/2022
PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation
Currently, state-of-the-art semi-supervised learning (SSL) segmentation ...
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10/12/2022
Dynamic Clustering Network for Unsupervised Semantic Segmentation
Recently, the ability of self-supervised Vision Transformer (ViT) to rep...
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07/20/2022
Locality Guidance for Improving Vision Transformers on Tiny Datasets
While the Vision Transformer (VT) architecture is becoming trendy in com...
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07/06/2022
Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization
In this paper, we show that the difference in Euclidean norm of samples ...
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03/31/2022
ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
Visual appearance is considered to be the most important cue to understa...
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08/14/2019