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Hierarchical Semantic Aggregation for Contrastive Representation Learning
Self-supervised learning based on instance discrimination has shown rema...
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Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Contrastive learning has achieved great success in self-supervised visua...
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Scene text removal via cascaded text stroke detection and erasing
Recent learning-based approaches show promising performance improvement ...
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Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Recently, contrastive learning has largely advanced the progress of unsu...
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Center-wise Local Image Mixture For Contrastive Representation Learning
Recent advances in unsupervised representation learning have experienced...
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Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
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Accurate 2D soft segmentation of medical image via SoftGAN network
Accurate 2D lung nodules segmentation from medical Computed Tomography (...
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Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Conditional Generative Adversarial Networks (cGAN) were designed to gene...
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Distilling Object Detectors with Task Adaptive Regularization
Current state-of-the-art object detectors are at the expense of high com...
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A survey on deep hashing for image retrieval
Hashing has been widely used in approximate nearest search for large-sca...
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Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Adversarial examples have been well known as a serious threat to deep ne...
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Multi-feature super-resolution network for cloth wrinkle synthesis
Existing physical cloth simulators suffer from expensive computation and...
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Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Collecting fine-grained labels usually requires expert-level domain know...
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Circumventing Outliers of AutoAugment with Knowledge Distillation
AutoAugment has been a powerful algorithm that improves the accuracy of ...
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MGCN: Descriptor Learning using Multiscale GCNs
We propose a novel framework for computing descriptors for characterizin...
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Latency-Aware Differentiable Neural Architecture Search
Differentiable neural architecture search methods became popular in auto...
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Capacity Preserving Mapping for High-dimensional Data Visualization
We provide a rigorous mathematical treatment to the crowding issue in da...
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Central Similarity Hashing via Hadamard matrix
Hashing has been widely used for efficient large-scale multimedia data r...
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PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Differentiable architecture search (DARTS) provided a fast solution in f...
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Distilling Object Detectors with Fine-grained Feature Imitation
State-of-the-art CNN based recognition models are often computationally ...
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Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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Few-shot Adaptive Faster R-CNN
To mitigate the detection performance drop caused by domain shift, we ai...
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Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution
The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...
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Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization
Image colorization achieves more and more realistic results with the inc...
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2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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Zigzag Learning for Weakly Supervised Object Detection
This paper addresses weakly supervised object detection with only image-...
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A Quantization-Friendly Separable Convolution for MobileNets
As deep learning (DL) is being rapidly pushed to edge computing, researc...
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Hardware-Efficient Guided Image Filtering For Multi-Label Problem
The Guided Filter (GF) is well-known for its linear complexity. However,...
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Speeding Up the Bilateral Filter: A Joint Acceleration Way
Computational complexity of the brute-force implementation of the bilate...
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Ensemble of Part Detectors for Simultaneous Classification and Localization
Part-based representation has been proven to be effective for a variety ...
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Image Retargeting by Content-Aware Synthesis
Real-world images usually contain vivid contents and rich textural detai...
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Inverse Procedural Modeling of Facade Layouts
In this paper, we address the following research problem: How can we gen...
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