Papers in this area
Showing 1–10 of 10 papers
| Task | Papers | Results |
|---|---|---|
| Heart Segmentation | 30 | 0 |
| Lung Nodule Segmentation | 30 | 0 |
| Multimodal Activity Recognition | 30 | 0 |
| Self-supervised Skeleton-based Action Recognition | 30 | 0 |
| Video Matting Image credit: [https://arxiv.org/pdf/2012.07810v1.pdf](https… | 30 | 0 |
| Video Synchronization | 30 | 0 |
| 3D Object Retrieval Source: [He et al](https://arxiv.org/pdf/1803.06189v1.pdf) | 29 | 0 |
| Age Classification | 29 | 0 |
| Anatomical Landmark Detection | 29 | 0 |
| Classifier calibration Confidence calibration – the problem of predicting probabili… | 29 | 0 |
| Domain Adaptive Person Re-Identification | 29 | 0 |
| Facial Editing Image source: [Stitch it in Time: GAN-Based Facial Editing o… | 29 | 0 |
| Foveation | 29 | 0 |
| Outdoor Localization | 29 | 0 |
| Radar Object Detection The radar object detection (ROD) task aims to classify and l… | 29 | 0 |
| Real-time Instance Segmentation Similar to its parent task, instance segmentation, but with … | 29 | 0 |
| Vessel Detection | 29 | 0 |
| Video Emotion Recognition | 29 | 0 |
| Video Saliency Prediction | 29 | 0 |
| Weakly-supervised 3D Human Pose Estimation This task targets at 3D Human Pose Estimation with fewer 3D … | 29 | 0 |
| Zero-shot Image Retrieval | 29 | 0 |
| Cloth-Changing Person Re-Identification | 28 | 0 |
| Depth Map Super-Resolution Depth map super-resolution is the task of upsampling depth i… | 28 | 0 |
| Dichotomous Image Segmentation Currently, existing image segmentation tasks mainly focus on… | 28 | 0 |
| LV Segmentation | 28 | 0 |
| Snow Removal | 28 | 0 |
| Split-MNIST | 28 | 0 |
| Supervised Video Summarization Supervised video summarization rely on datasets with human-l… | 28 | 0 |
| Synthetic Image Detection Identify if the image is real or generated/manipulated by an… | 28 | 0 |
| Unsupervised Few-Shot Image Classification In contrast to (supervised) few-shot image classification, o… | 28 | 0 |
| 3D Place Recognition Pointcloud-based place recognition and retrieval | 27 | 0 |
| Classification Of Hyperspectral Images | 27 | 0 |
| Depth And Camera Motion | 27 | 0 |
| Emotion Cause Extraction | 27 | 0 |
| Segmentation Of Remote Sensing Imagery | 27 | 0 |
| 3D dense captioning Dense captioning in 3D point clouds is an emerging vision-an… | 26 | 0 |
| 3D Face Alignment | 26 | 0 |
| Egocentric Activity Recognition | 26 | 0 |
| Image Retargeting | 26 | 0 |
| Indoor Scene Synthesis | 26 | 0 |
| Interest Point Detection | 26 | 0 |
| NavSim Data-Driven Non-Reactive Autonomous Vehicle Benchmark. Evalu… | 26 | 0 |
| Point Cloud Pre-training Point cloud data represents 3D shapes as a set of discrete p… | 26 | 0 |
| Reference-based Super-Resolution Reference-based Super-Resolution aims to recover high-resolu… | 26 | 0 |
| Video MME | 26 | 0 |
| Connectivity Estimation | 25 | 0 |
| Face Morphing Attack Detection | 25 | 0 |
| Feature Upsampling Deep features are a cornerstone of computer vision research,… | 25 | 0 |
| Garment Reconstruction | 25 | 0 |
| Left Ventricle Segmentation | 25 | 0 |