We present NeRF-Det, a novel method for indoor 3D detection with posed R...
Current popular backbones in computer vision, such as Vision Transformer...
We present the design of a productionized end-to-end stereo depth sensin...
Adapting large-scale pretrained models to various downstream tasks via
f...
Recent developments for Semi-Supervised Object Detection (SSOD) have sho...
We tackle the problem of domain adaptation in object detection, where th...
Semi-supervised learning, i.e., training networks with both labeled and
...
3D photography is a new medium that allows viewers to more fully experie...
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
Differentiable Neural Architecture Search (DNAS) has demonstrated great
...
Many automated processes such as auto-piloting rely on a good semantic
s...
This paper proposes a new end-to-end trainable matching network based on...