Search Results for author:
Found 7 papers, 2 papers with code
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases
Large Vision-Language Models (LVLMs), due to the remarkable visual reasoning ability to understand images and videos, have received widespread attention in the autonomous driving domain, which significantly advances the development of interpretable end-to-end autonomous driving.
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
Also, our method shows strong generalization for diverse trackers and scenarios in a plug-and-play and training-free manner.
Ranked #9 on
Multi-Object Tracking
on DanceTrack
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome.
dual unet:a novel siamese network for change detection with cascade differential fusion
Change detection (CD) of remote sensing images is to detect the change region by analyzing the difference between two bitemporal images.
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images
With the better representation capability of optical images, we propose to enrich SAR images with generated optical images via the generative adversative network (GAN) trained by numerous SAR and optical images.
AugHover-Net: Augmenting Hover-net for Nucleus Segmentation and Classification
Connective nuclei may look very different from each other while some of them share a similar shape with the epithelial ones.
Hierarchical Feature-Aware Tracking
Moreover, with the novel expert selection strategy, overfitting caused by fixed experts for each frame can be mitigated.
