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Found 8 papers, 3 papers with code
Dual Capsule Attention Mask Network with Mutual Learning for Visual Question Answering
The attention mechanism can highlight fine-grained features with critical information, thus ensuring that feature extraction emphasizes the objects related to the questions.
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
Multi-stage architectures have exhibited efficacy in image dehazing, which usually decomposes a challenging task into multiple more tractable sub-tasks and progressively estimates latent hazy-free images.
Adaptive Dynamic Filtering Network for Image Denoising
To alleviate these issues, we propose to employ dynamic convolution to improve the learning of high-frequency and multi-scale features.
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
Due to the dynamic nature, the proposed algorithms can also estimate true labels online without re-visiting historical data.
Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation
Experimental results on COCO and OCHuman keypoints datasets show that our proposed ODKD can improve the performance of different lightweight models by a large margin, and HRNet-W16 equipped with ODKD achieves state-of-the-art performance for lightweight human pose estimation.
Object Detection with Deep Learning: A Review
Traditional object detection methods are built on handcrafted features and shallow trainable architectures.
Online Feature Selection with Group Structure Analysis
The problem assumes that features are generated individually but there are group structure in the feature stream.
Robust and Efficient Subspace Segmentation via Least Squares Regression
If the subspaces from which the data drawn are independent or orthogonal, they are able to obtain a block diagonal affinity matrix, which usually leads to a correct segmentation.
