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
Small object detection using sparsely-connected convolution for less compute with TinyDet
Learn new objects without forgetting old ones with transformers by using reliability with CL-DETR
Real-time segment all objects in image without training on CPU with Segment Anything
Get 3D head that is photorealistic and animatable from 1 minute of monocular video with MonoAvatar
Survey of vision-language models for vision tasks
Get 3D shape even with changing light using view-dependence normalization with VDN-NeRF
1.5x faster vision transformers by using activation sparsity with SparseViT
Get object pose in new domain without labels by automatically fine-tune on new images with TTA-COPE
Segment objects in videos using only bounding boxes along with time consistency with MaskFreeVIS
Get high-quality 3D shape with realistic texture from LiDAR smartphone by neural geometry with TMO
Real-time shape of moving 3D object and 6-DoF tracking using neural object field with BundleSDF
Complete point clouds using unsupervised learning by the Sinkhorn algorithm with UDPReg
Segment objects in videos using only 2 labeled frames with Two-shot-Video-Object-Segmentation
Detect all known and unknown objects using many sources and probability calibration with UniDetector
Get 3D shape of novel object from one image using pre-trained diffusion models with Zero-1-to-3
Vision transformer beats CNN on mobile devices for accuracy and speed with ElasticViT
Get 3D surface from Neural Radiance Field using signed surface approximation with NeRFMeshing