Segmentation with only a few examples by using image captions instead of pixel labels with IMR-HSNet Iterative Few-shot Semantic...

Segment unknown objects using top-down learning and bottom-up segmentations with UDOS Open-world Instance Segmentation: Top-down Learning...

Survey of semantic segmentation for autonomous driving including efficiency and use of depth or time A Threefold Review on Deep Semantic...

Detect objects in new domain without labels in target by using domain-invariant frequencies with FIT FIT: Frequency-based Image...

Count objects in image with zero examples using patches like a generated sample with ZSC Zero-shot Object Counting arXiv paper abstract...

Small object detection using bounding boxes guided by confidences with C-BBL Confidence-driven Bounding Box Localization for Small Object...

Object segmentation with only image labels using intermediate patch features with ToCo Token Contrast for Weakly-Supervised Semantic...

Indoor 3D scene reconstruction using plane-regularized signed distance field with P2SDF P2SDF for Neural Indoor Scene Reconstruction...

Complete point clouds by using missing part sensitive transformer with ProxyFormer ProxyFormer: Proxy Alignment Assisted Point Cloud...

Survey of action labeling over time in video Temporal Action Segmentation: An Analysis of Modern Technique arXiv paper abstract...

Complete 3D scene using only images having occlusions by masked autoencoder with VoxFormer VoxFormer: Sparse Voxel Transformer for...

3D semantic segmentation using RGB and depth with PDCNet Pixel Difference Convolutional Network for RGB-D Semantic Segmentation arXiv...

Get 3D human in video by self-supervised scene decomposition without prior datasets with Vid2Avatar Vid2Avatar: 3D Avatar Reconstruction...

Reconstruct 3D object from one image using diffusion image generator with RealFusion RealFusion: 360° Reconstruction of Any Object from a...

Survey of semi-supervised semantic segmentation A Survey on Semi-Supervised Semantic Segmentation arXiv paper abstract...

Survey of machine learning on the edge A Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques arXiv...

Monocular depth using transformer, CNN, and uncertainty with URCDC-Depth URCDC-Depth: Uncertainty Rectified Cross-Distillation with...

Real-time object detector on the edge using better augmentation and FCOS with EdgeYOLO EdgeYOLO: An Edge-Real-Time Object Detector arXiv...

Survey of real-time object detection networks including versatility, robustness, resources, energy A Comprehensive Study of Real-Time...

Survey of semantic image segmentation over two decades Semantic Image Segmentation: Two Decades of Research arXiv paper abstract...