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Found 8 papers, 4 papers with code
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
MuRAL identifies informative regions of various scales to reduce annotation costs for well-learned objects and improve training performance.
Free-form 3D Scene Inpainting with Dual-stream GAN
Thus, we present a novel task named free-form 3D scene inpainting.
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
While recent large-scale video-language pre-training made great progress in video question answering, the design of spatial modeling of video-language models is less fine-grained than that of image-language models; existing practices of temporal modeling also suffer from weak and noisy alignment between modalities.
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping
A spatial AI that can perform complex tasks through visual signals and cooperate with humans is highly anticipated.
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
(3) Learning from a different expert.
Dual-Awareness Attention for Few-Shot Object Detection
While recent progress has significantly boosted few-shot classification (FSC) performance, few-shot object detection (FSOD) remains challenging for modern learning systems.
Ranked #9 on
Few-Shot Object Detection
on MS-COCO (10-shot)
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
In recent years, few-shot learning problems have received a lot of attention.
