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Found 3 papers, 1 papers with code
RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning
We evaluate our approach on two datasets and show that our proposed RCA-NOC approach outperforms state-of-the-art methods by a large margin, demonstrating its effectiveness in improving vision-language representation for novel object captioning.
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations
Instead of directly using the model inference way, i. e., mean-shift clustering, to generate the pseudo labels, we propose to use k-means with fixed initial seeds: the annotated points.
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation
Deep neural networks (DNNs) have witnessed great successes in semantic segmentation, which requires a large number of labeled data for training.
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