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Found 6 papers, 5 papers with code
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection
A commonly-used strategy for supervised IOD is to encourage the current model (as a student) to mimic the behavior of the old model (as a teacher), but it generally fails in SSIOD because a dominant number of object instances from old and new classes are coexisting and unlabelled, with the teacher only recognizing a fraction of them.
Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
In this report, we present the 4th place solution for CVPR 2023 3D occupancy prediction challenge.
Ranked #2 on
Prediction Of Occupancy Grid Maps
on Occ3D-nuScenes
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving
However, there still lacks a systematic understanding of the robustness of these vision-dependent BEV models, which is closely related to the safety of autonomous driving systems.
WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels
To the best of our knowledge, WS-3D-Lane is the first try of 3D lane detection under weakly supervised setting.
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
We also test DualConv for image detection on YOLO-V3.
Improving the Speed and Quality of GAN by Adversarial Training
Generative adversarial networks (GAN) have shown remarkable results in image generation tasks.
