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09/01/2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained image recognition is a longstanding computer vision challen...
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08/30/2023
Latency-aware Unified Dynamic Networks for Efficient Image Recognition
Dynamic computation has emerged as a promising avenue to enhance the inf...
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08/27/2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Over the past decade, deep learning models have exhibited considerable a...
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08/01/2023
FLatten Transformer: Vision Transformer using Focused Linear Attention
The quadratic computation complexity of self-attention has been a persis...
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06/20/2023
Dynamic Perceiver for Efficient Visual Recognition
Early exiting has become a promising approach to improving the inference...
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03/14/2023
Adaptive Rotated Convolution for Rotated Object Detection
Rotated object detection aims to identify and locate objects in images w...
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10/12/2022
Latency-aware Spatial-wise Dynamic Networks
Spatial-wise dynamic convolution has become a promising approach to impr...
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09/17/2022
Learning to Weight Samples for Dynamic Early-exiting Networks
Early exiting is an effective paradigm for improving the inference effic...
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09/03/2021
Towards Learning Spatially Discriminative Feature Representations
The backbone of traditional CNN classifier is generally considered as a ...
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05/07/2021
Adaptive Focus for Efficient Video Recognition
In this paper, we explore the spatial redundancy in video recognition wi...
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02/09/2021
Dynamic Neural Networks: A Survey
Dynamic neural network is an emerging research topic in deep learning. C...
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03/16/2020