WebJan 1, 2024 · Semi-supervised Semantic Segmentation with Directional Context-aware Consistency Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia. (*: equal contribution) … WebAug 5, 2024 · Context-Aware-Consistency. This is the official PyTorch implementation of our paper Semi-supervised Semantic Segmentation with Directional Context-aware Consistency that has been accepted to 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024).
Context-aware co-supervision for accurate object detection
WebFor labeled part, we use supervised loss to guide the learning process. For unlabeled part, we use our CAVWCL to guide the learning process. In Section 2.2, we presented how to use CAVWCL for SSS of PLD, which is based on context-aware consistency regularization. See Fig. 1 for an illustration. WebTherefore, we propose to maintain the context-aware consistency between features of the same identity but with different contexts, making the representations robust to the varying environments. Moreover, we present the Directional Contrastive Loss (DC Loss) to accomplish the consistency in a pixel-to-pixel manner, only requiring the feature ... molly\\u0027s clothing
Issue #23 · dvlab-research/Context-Aware-Consistency - Github
WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebJun 1, 2024 · The proposed method incorporates context-aware consistency by contrasting pairs of overlapping images in a pixel-wise manner from changing contexts resulting in robust and context invariant features. WebNov 3, 2024 · However, random cropping restricts learning context-aware semantic segmentation, especially for long-range dependencies and scene layout, which might be critical for UDA as context relations are often ... X., et al.: Semi-supervised semantic segmentation with directional context-aware consistency. In: CVPR, pp. 1205–1214 … hywel dda news chart