全神贯注于
发表于 2025-4-1 03:32:28
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大洪水
发表于 2025-4-1 08:59:58
Challenge-Aware RGBT Tracking,could enhance the discriminative ability of some weak modality. Moreover, all branches are aggregated together in an adaptive manner and parallel embedded in the backbone network to efficiently form more discriminative target representations. These challenge-aware branches are able to model the targ
avenge
发表于 2025-4-1 13:32:27
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predict
发表于 2025-4-1 15:00:35
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation, extracted from the most confident images of the target domain. Dynamic class specific entropy thresholding mechanism is presented to filter out unreliable pseudo-labels. Furthermore, we also incorporate the focal loss to tackle the problem of class imbalance in self-supervised learning. Extensive e
annexation
发表于 2025-4-1 22:07:12
Active Visual Information Gathering for Vision-Language Navigation,-to-end framework for learning an exploration policy that decides . when and where to explore, . what information is worth gathering during exploration, and . how to adjust the navigation decision after the exploration. The experimental results show promising exploration strategies emerged from trai
漂白
发表于 2025-4-1 23:38:46
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多节
发表于 2025-4-2 04:39:01
Pillar-Based Object Detection for Autonomous Driving,plication are extremely sparse, we propose a practical . approach to fix the imbalance issue caused by anchors. In particular, our algorithm incorporates a cylindrical projection into multi-view feature learning, predicts bounding box parameters per pillar rather than per point or per anchor, and in