Search Results for author:
Found 13 papers, 7 papers with code
Benchmarking the Robustness of UAV Tracking Against Common Corruptions
Addressing this, we propose UAV-C, a large-scale benchmark for assessing robustness of UAV trackers under common corruptions.
Voting Network for Contour Levee Farmland Segmentation and Classification
The segmentation slices are used to perform majority voting on the predictions.
Designing Deep Networks for Scene Recognition
Most deep learning backbones are evaluated on ImageNet.
Clip-aware expressive feature learning for video-based facial expression recognition
In this paper, we divide a video into several short clips for processing and propose a clip-aware emotion-rich feature learning network (CEFLNet) for robust video-based FER.
Ranked #16 on
Dynamic Facial Expression Recognition
on DFEW
Dynamic Facial Expression Recognition
Facial Expression Recognition
+1
Urban land-use analysis using proximate sensing imagery: a survey
Urban regions are complicated functional systems that are closely associated with and reshaped by human activities.
Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance
The proposed UFG image dataset and evaluation protocols is intended to serve as a benchmark platform that can advance research of visual classification from approaching human performance to beyond human ability, via facilitating benchmark data of artificial intelligence (AI) not to be limited by the labels of human intelligence (HI).
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
Deep learning methods have demonstrated promising results in predictive healthcare tasks.
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation
Although Generative Adversarial Networks have shown remarkable performance in image generation, there are some challenges in image realism and convergence speed.
Patchy Image Structure Classification Using Multi-Orientation Region Transform
To address above limitations, this paper proposes a novel Multi-Orientation Region Transform (MORT), which can effectively characterize both contour and structure features simultaneously, for patchy image structure classification.
From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
Encouraging experimental results of the proposed method in comparison to the state-of-the-art leaf species recognition methods demonstrate the availability of cultivar information in soybean leaves and effectiveness of the proposed MSCM for soybean cultivar identification, which may advance the research in leaf recognition from species to cultivar.
Transferring Rich Deep Features for Facial Beauty Prediction
Feature extraction plays a significant part in computer vision tasks.
Ranked #1 on
Facial Beauty Prediction
on SCUT-FBP
A Survey on Eye-Gaze Tracking Techniques
Study of eye-movement is being employed in Human Computer Interaction (HCI) research.
