Train new object detector without bounding box annotations using captioned images Towards Open Vocabulary Object Detection without...

Reidentify people in new scenes better by using multiple networks Learning to Disentangle Scenes for Person Re-identification arXiv paper...

Faster multi-person pose estimation by using object modeling Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects...

Better training data for driving by using simulator to guide realistic image synthesis Towards Optimal Strategies for Training...

Survey of fine-grained image analysis using deep learning Fine-Grained Image Analysis with Deep Learning: A Survey arXiv paper abstract...

Survey of computer vision using transformers A Survey of Visual Transformers arXiv paper abstract https://arxiv.org/abs/2111.06091 arXiv...

Match 3D points with 99% outliers quickly with VOCRA Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and...

Improved super-resolution for images by using flows Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic...

Detect image anomalies by using low-dimensional embeddings of patches PEDENet: Image Anomaly Localization via Patch Embedding and Density...

Survey of video anomaly detection using self-supervised deep learning A Critical Study on the Recent Deep Learning Based Semi-Supervised...

Get 3D scene geometry and segmentation from a single RGB image Panoptic 3D Scene Reconstruction From a Single RGB Image arXiv paper...

Video segmentation with less carrying over of errors by using a cyclic workflow Exploring the Semi-supervised Video Object Segmentation...

Scene segmentation 7.3 times faster with 3D transformer using patch attention PatchFormer: A Versatile 3D Transformer Based on Patch...

Improve vision transformer by using anti-aliasing Blending Anti-Aliasing into Vision Transformer arXiv paper abstract...

Train object detectors using images synthesized from real unmarked images Self-Supervised Object Detection via Generative Image Synthesis...

Survey of training object detectors with limited data or unlabeled data A Survey of Self-Supervised and Few-Shot Object Detection arXiv...

Recognizing actions without training using scene context with object recognition Zero-Shot Action Recognition from Diverse Object-Scene...

Get foreground in image without user marking borders using 100x smaller model Highly Efficient Natural Image Matting arXiv paper abstract...

Better image captioning and question answering using weakly supervised training SimVLM: Simple Visual Language Model Pretraining with...

Find person in image gallery using text queries by leveraging larger libraries Text-Based Person Search with Limited Data arXiv paper...