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Found 6 papers, 5 papers with code
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset.
StableIdentity: Inserting Anybody into Anywhere at First Sight
We believe that the proposed StableIdentity is an important step to unify image, video, and 3D customized generation models.
CTVIS: Consistent Training for Online Video Instance Segmentation
The discrimination of instance embeddings plays a vital role in associating instances across time for online video instance segmentation (VIS).
Ranked #2 on
Video Instance Segmentation
on Youtube-VIS 2022 Validation
(using extra training data)
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
SSNet consists of a segmentation network (SN) and a saliency aggregation module (SAM).
Multi-source weak supervision for saliency detection
To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.
Boundary-guided Feature Aggregation Network for Salient Object Detection
Fully convolutional networks (FCN) has significantly improved the performance of many pixel-labeling tasks, such as semantic segmentation and depth estimation.
