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08/23/2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
Vision Transformer has demonstrated impressive success across various vi...
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08/23/2023
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos
Non-photorealistic videos are in demand with the wave of the metaverse, ...
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03/15/2023
DeepMIM: Deep Supervision for Masked Image Modeling
Deep supervision, which involves extra supervisions to the intermediate ...
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01/03/2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Masked image modeling (MIM) performs strongly in pre-training large visi...
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07/22/2022
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion
Data lies at the core of modern deep learning. The impressive performanc...
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07/13/2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
One key challenge of exemplar-guided image generation lies in establishi...
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06/15/2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
Data mixing (e.g., Mixup, Cutmix, ResizeMix) is an essential component f...
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06/13/2022
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation
Multimodal knowledge distillation (KD) extends traditional knowledge dis...
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05/29/2022
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting
Crowd image is arguably one of the most laborious data to annotate. In t...
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03/22/2022
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
Inspired by the success of self-supervised autoregressive representation...
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11/30/2021
Shunted Self-Attention via Multi-Scale Token Aggregation
Recent Vision Transformer (ViT) models have demonstrated encouraging res...
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08/06/2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
Existing domain adaptation methods for crowd counting view each crowd im...
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08/06/2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Labeling is onerous for crowd counting as it should annotate each indivi...
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08/05/2021
Unifying Global-Local Representations in Salient Object Detection with Transformer
The fully convolutional network (FCN) has dominated salient object detec...
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06/23/2021
Co-advise: Cross Inductive Bias Distillation
Transformers recently are adapted from the community of natural language...
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03/26/2021
Multimodal Knowledge Expansion
The popularity of multimodal sensors and the accessibility of the Intern...
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07/20/2020