Detect small 3D objects quickly and accurately using dynamic spatial pruning with DSPDet3D

Segment object using one example without training using target-guided attention with PerSAM

Retrieve images using complex text descriptions by Neural Divide-and-Conquer Reasoning with NDCR

Real-time segmentation using improved K-Net architecture with RT-K-Net

Real-time incremental learning of scene light field with novel model and multiple agent with NSLF-OL

Get 3D shape of object by neural reconstruction enhanced with depth from multiple views with CVRecon

Segment dark images by using RAW image data reducing feature noise with LIS

Get 3D shape of object using material and lighting estimates and physics rendering with Neural-PBIR

Survey of video captioning using deep learning

Survey of unsupervised segmentation in new domains for autonomous driving

Get editable 3D objects and new view from monocular RGB-D video by separate models with factorednerf

Survey of radar-camera fusion for object detection and segmentation in autonomous driving

Survey of vision segmentation using transformers

Segment objects which are adjacent or overlap by examining the surrounding region with Su

Real-time object detector RT-DETR beats YOLO in accuracy and speed by efficient multi-scaling

Indoor 3D scene reconstruction using flat surface prior but unknown frame with Popovic

Get 3D shape of object from one image using similar objects from CLIP with ShapeClipper

Survey of segmentation when there are few examples

Segment new objects without forgetting old ones by replaying most informative samples with Zhu

Image augmentation using DETR transformer to select a patch with DeMix