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Found 10 papers, 4 papers with code
Style Generation: Image Synthesis based on Coarsely Matched Texts
In this work, we attempt to stylize an input image using such coarsely matched text as guidance.
A Compact Neural Network-based Algorithm for Robust Image Watermarking
Digital image watermarking seeks to protect the digital media information from unauthorized access, where the message is embedded into the digital image and extracted from it, even some noises or distortions are applied under various data processing including lossy image compression and interactive content editing.
Large-Capacity Image Steganography Based on Invertible Neural Networks
Many attempts have been made to hide information in images, where the main challenge is how to increase the payload capacity without the container image being detected as containing a message.
iNAS: Integral NAS for Device-Aware Salient Object Detection
Existing salient object detection (SOD) models usually focus on either backbone feature extractors or saliency heads, ignoring their relations.
Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning
Underexposed image enhancement is of importance in many research domains.
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
DARTS mainly focuses on the operation search and derives the cell topology from the operation weights.
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
Recent generative methods formulate GZSL as a missing data problem, which mainly adopts GANs or VAEs to generate visual features for unseen classes.
Bilateral Attention Network for RGB-D Salient Object Detection
To better explore salient information in both foreground and background regions, this paper proposes a Bilateral Attention Network (BiANet) for the RGB-D SOD task.
Ranked #3 on
RGB-D Salient Object Detection
on RGBD135
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
We design a novel Local Spatial Aware (LSA) layer, which can learn to generate Spatial Distribution Weights (SDWs) hierarchically based on the spatial relationship in local region for spatial independent operations, to establish the relationship between these operations and spatial distribution, thus capturing the local geometric structure sensitively. We further propose the LSANet, which is based on LSA layer, aggregating the spatial information with associated features in each layer of the network better in network design. The experiments show that our LSANet can achieve on par or better performance than the state-of-the-art methods when evaluating on the challenging benchmark datasets.
Deep Online Video Stabilization
In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet).
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