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Found 18 papers, 10 papers with code
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach
With roughly the same computational complexity as previous models, our approach achieves state-of-the-art results on both the single-person and multi-person 3D pose estimation benchmarks.
SliceMamba with Neural Architecture Search for Medical Image Segmentation
Despite the progress made in Mamba-based medical image segmentation models, existing methods utilizing unidirectional or multi-directional feature scanning mechanisms struggle to effectively capture dependencies between neighboring positions, limiting the discriminant representation learning of local features.
MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems.
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs.
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results.
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.
NTIRE 2024 Challenge on Image Super-Resolution ($\times$4): Methods and Results
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search
Manually replacing convolution layers with multi-head self-attention is non-trivial due to the costly overhead in memory to maintain high resolution.
Swift Parameter-free Attention Network for Efficient Super-Resolution
To address this issue, we propose the Swift Parameter-free Attention Network (SPAN), a highly efficient SISR model that balances parameter count, inference speed, and image quality.
Ranked #47 on
Image Super-Resolution
on Set14 - 4x upscaling
CNTN: Cyclic Noise-tolerant Network for Gait Recognition
Gait recognition aims to identify individuals by recognizing their walking patterns.
Generalized Inter-class Loss for Gait Recognition
The proposed method can be generalized to different gait recognition networks and achieves significant improvements.
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
In this paper, we propose Regularized Graph Structure Learning (RGSL) model to incorporate both explicit prior structure and implicit structure together, and learn the forecasting deep networks along with the graph structure.
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis
In the SAP, the semantic knowledge learned from the source lesion domain is transferred to consecutive target lesion domains.
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
The experiments on ImageNet verify such path distillation method can improve the convergence ratio and performance of the hypernetwork, as well as boosting the training of subnetworks.
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
The RDN is a deconvolutional version of conventional recurrent neural network, which can well model the long-range temporal dependency of generated video frames and make good use of conditional information.
Cyclic Differentiable Architecture Search
First, the search network generates an initial architecture for evaluation, and the weights of the evaluation network are optimized.
Ranked #18 on
Neural Architecture Search
on NAS-Bench-201, CIFAR-10
An End-to-end Video Text Detector with Online Tracking
Most existing methods attempt to enhance the performance of video text detection by cooperating with video text tracking, but treat these two tasks separately.
Identity-Enhanced Network for Facial Expression Recognition
Facial expression recognition is a challenging task, arguably because of large intra-class variations and high inter-class similarities.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
